Analyzing Open Flow Protocol Performance in Software Defined Networking
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AI Summary
This research paper discusses the concept of Software Defined Networking (SDN) and Open Flow protocol. It analyzes the performance of Open Flow protocol in SDN and monitors the latency of end to end packet flow between an Open Flow switch and controller. The paper also includes the installation process of VMware Workstation and Mininet. The architecture of SDN and Open Flow protocol is explained in detail.
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Abstract
Software defined networks (SDNs) presented the idea of decoupling control and data
planes which is a change in outlook. The Open Flow convention is one of various
advancements that empowers this decoupling and, essentially, commodifies arrange
hardware. Starting at now, there is as yet restricted work that has been done towards
demonstrating the travel delay crosswise over Open Flow switches experienced by organize
movement. The objective of Open Flow is to give open interoperability between organize
hardware of various merchants, as past endeavours made to this end were exclusive
arrangements. This exertion enhances the execution of SDNs. The Open Flow convention
oversees different components of a system, e.g. actualizing setup changes in the data plane of
a mind boggling system, for example, a server farm or telco's center system. Nonetheless,
these procedures must be finished in convenient way. In customary systems the control plane
lives on every individual switch in a divided/disseminated design which once in a while
influences the execution of the data plane. In Open Flow switches the postponement brought
about by data plane components to process packets increments because of the contribution of
a central controller. In this research, we are focus on analysing the Open flow protocol
performance in Software Defined Networking (SDN) and also focus on monitoring the
latency of end to end packet flow between an open flow switch and controller. This research
will implement the open flow switch and running a series of tests to quantitatively analyse the
open flow protocol performances.
1
Software defined networks (SDNs) presented the idea of decoupling control and data
planes which is a change in outlook. The Open Flow convention is one of various
advancements that empowers this decoupling and, essentially, commodifies arrange
hardware. Starting at now, there is as yet restricted work that has been done towards
demonstrating the travel delay crosswise over Open Flow switches experienced by organize
movement. The objective of Open Flow is to give open interoperability between organize
hardware of various merchants, as past endeavours made to this end were exclusive
arrangements. This exertion enhances the execution of SDNs. The Open Flow convention
oversees different components of a system, e.g. actualizing setup changes in the data plane of
a mind boggling system, for example, a server farm or telco's center system. Nonetheless,
these procedures must be finished in convenient way. In customary systems the control plane
lives on every individual switch in a divided/disseminated design which once in a while
influences the execution of the data plane. In Open Flow switches the postponement brought
about by data plane components to process packets increments because of the contribution of
a central controller. In this research, we are focus on analysing the Open flow protocol
performance in Software Defined Networking (SDN) and also focus on monitoring the
latency of end to end packet flow between an open flow switch and controller. This research
will implement the open flow switch and running a series of tests to quantitatively analyse the
open flow protocol performances.
1
Table of Contents
Introduction..............................................................................................................................3
VMware Workstation and Mininet Installation....................................................................4
Literature Review.....................................................................................................................6
Methods and Design.................................................................................................................8
Software-Defined Networks and Open Flow.....................................................................8
Network Requirements’ Evolution.....................................................................................8
Architecture of SDN...........................................................................................................10
Open Flow...........................................................................................................................11
Logical Switch Architecture..............................................................................................12
Analysis and Results..............................................................................................................13
Software Defined Network................................................................................................13
Designing the Open Flow Network by using Simulation Tool.......................................14
Establishing the Network Model.......................................................................................15
Conclusion...............................................................................................................................23
References...............................................................................................................................25
2
Introduction..............................................................................................................................3
VMware Workstation and Mininet Installation....................................................................4
Literature Review.....................................................................................................................6
Methods and Design.................................................................................................................8
Software-Defined Networks and Open Flow.....................................................................8
Network Requirements’ Evolution.....................................................................................8
Architecture of SDN...........................................................................................................10
Open Flow...........................................................................................................................11
Logical Switch Architecture..............................................................................................12
Analysis and Results..............................................................................................................13
Software Defined Network................................................................................................13
Designing the Open Flow Network by using Simulation Tool.......................................14
Establishing the Network Model.......................................................................................15
Conclusion...............................................................................................................................23
References...............................................................................................................................25
2
Introduction
The SDN (Software Define Network) presented an idea of seperating control and data
planes that change in outlook. The Open Flow convention is one of various advancements
that empowers this decoupling and, essentially, commodifies arrange hardware. Starting at
now, there is as yet restricted work that has been done towards demonstrating the travel delay
crosswise over Open Flow switches experienced by organize movement. The fast
development of new innovations, for example, distributed computing, have muddled the
manner by which customary systems administration was finished.
Software defined networks (SDN), another systems administration worldview, gives an
answer for it by cleverly overseeing and arranging the system components. It establishes the
framework programmable by enclosing the framework’s control plane from the data plane.
The plane of information has just switches along with capability to send bundles as shown by
power plane produced essential rules. The SDN provides the more control to the framework
managers over the whole framework with united control plane which executes in software.
And it has furthermore empowered masters to test sent frameworks without making any
check their movement. The united control plane includes a southbound application
programming interface (API), for correspondence along with the hardware frameworks has
data plane and the Northbound API for correspondence along with the orchestrate
applications. It also helps in the making process of organization limits framework. OpenFlow
is considered as a preeminent southbound API, which is progressed with the help of ONF. It
represents Open Networking Foundation.
The main objective of “Open Flow” is to give an open interoperability among organized
hardware set of various suppliers, as past activities prepared to this end were exclusive
arrangements. The objective force enhances the execution of SDNs. The Open Flow
convention oversees different components of a system. For example, actualizing setup
changes in the mind boggling system’s data plane, such as, a server farm or telco's center
system. Nonetheless, these procedures must be finished in convenient way. In customary
systems the control plane lives on each individuals switch in a divided/disseminated design
which once in a while influences the execution of the data plane. In Open Flow switches the
postponement brought about by data plane components to process packets increments
because of the contribution of a focal controller system.
The latency is extended due to below reasons. These are listed below.
3
The SDN (Software Define Network) presented an idea of seperating control and data
planes that change in outlook. The Open Flow convention is one of various advancements
that empowers this decoupling and, essentially, commodifies arrange hardware. Starting at
now, there is as yet restricted work that has been done towards demonstrating the travel delay
crosswise over Open Flow switches experienced by organize movement. The fast
development of new innovations, for example, distributed computing, have muddled the
manner by which customary systems administration was finished.
Software defined networks (SDN), another systems administration worldview, gives an
answer for it by cleverly overseeing and arranging the system components. It establishes the
framework programmable by enclosing the framework’s control plane from the data plane.
The plane of information has just switches along with capability to send bundles as shown by
power plane produced essential rules. The SDN provides the more control to the framework
managers over the whole framework with united control plane which executes in software.
And it has furthermore empowered masters to test sent frameworks without making any
check their movement. The united control plane includes a southbound application
programming interface (API), for correspondence along with the hardware frameworks has
data plane and the Northbound API for correspondence along with the orchestrate
applications. It also helps in the making process of organization limits framework. OpenFlow
is considered as a preeminent southbound API, which is progressed with the help of ONF. It
represents Open Networking Foundation.
The main objective of “Open Flow” is to give an open interoperability among organized
hardware set of various suppliers, as past activities prepared to this end were exclusive
arrangements. The objective force enhances the execution of SDNs. The Open Flow
convention oversees different components of a system. For example, actualizing setup
changes in the mind boggling system’s data plane, such as, a server farm or telco's center
system. Nonetheless, these procedures must be finished in convenient way. In customary
systems the control plane lives on each individuals switch in a divided/disseminated design
which once in a while influences the execution of the data plane. In Open Flow switches the
postponement brought about by data plane components to process packets increments
because of the contribution of a focal controller system.
The latency is extended due to below reasons. These are listed below.
3
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1. Among OpenFlow switch and control plan, the propagation delay is occurred.
2. The control plane rate is prepared
3. The responsiveness of Open Flow switches in producing banner for another
stream and refreshing their separate stream tables on accepting sign from the
central controller.
In this research, we are focus on analysing the Open flow protocol performance in SDN
(Software Defined Networking) and also it will focus on to monitor the latency of end to end
packet flow among an OpenFlow switch and the controller. This research will implement the
OpenFlow switch and then we will conduct the quantitative analysis to do series of tests for
analyzing the performance of OpenFlow protocol.
VMware Workstation and Mininet Installation
1. Download Mininet and VMware workstation.
2. First Install the VMware workstation.
3. Then, Open the VMware workstation.
4. Click, Create new Virtual machine.
5. After, browse the Mininet disk file to install the Mininet.
6. Then, Power on the Mininet.
7. Log on Mininet to enter the user name as Mininet and password as Mininet.It is
shown below.
4
2. The control plane rate is prepared
3. The responsiveness of Open Flow switches in producing banner for another
stream and refreshing their separate stream tables on accepting sign from the
central controller.
In this research, we are focus on analysing the Open flow protocol performance in SDN
(Software Defined Networking) and also it will focus on to monitor the latency of end to end
packet flow among an OpenFlow switch and the controller. This research will implement the
OpenFlow switch and then we will conduct the quantitative analysis to do series of tests for
analyzing the performance of OpenFlow protocol.
VMware Workstation and Mininet Installation
1. Download Mininet and VMware workstation.
2. First Install the VMware workstation.
3. Then, Open the VMware workstation.
4. Click, Create new Virtual machine.
5. After, browse the Mininet disk file to install the Mininet.
6. Then, Power on the Mininet.
7. Log on Mininet to enter the user name as Mininet and password as Mininet.It is
shown below.
4
5
Literature Review
According to this paper (Shamim et al., 2018), Software Defined Networking (SDN) is
another systems administration worldview where control plane is isolated from data plane. In
the course of recent years, SDN has risen as a convincing worldview for creating and sending
new system capacities and administrations. Open Flow is the most regularly sent Software
Defined Networking engineering. Various systems administration switches can be controlled
by a single centralized controlled OpenFlow controller. Distinctive Python and Java based
Open Flow controller are accessible for Software Defined Networking. This paper actualizes
Ryu, POX and Pyretic Open Flow based Python controller in tree organizing topology over
Software Defined Networking. The consequence of this paper demonstrates that these Python
based Open Flow controller performs well finished SDN. All the usage of various controller
has been finished utilizing Mininet Emulator. SDN gives some incredible highlights that
permit the system suppliers and managers to go about as quick as conceivable to access, trade
and refresh any framework effortlessly. It comprises of decoupling the control and data
planes of a system. It depends on the way that the least complex capacity of a change is to
forward parcels as per an arrangement of tenets. Be that as it may, the principles took after by
the change to forward packets are overseen by a software based controller. One inspiration of
SDN is to perform organize assignments that wasn't possible without extra software for every
6
According to this paper (Shamim et al., 2018), Software Defined Networking (SDN) is
another systems administration worldview where control plane is isolated from data plane. In
the course of recent years, SDN has risen as a convincing worldview for creating and sending
new system capacities and administrations. Open Flow is the most regularly sent Software
Defined Networking engineering. Various systems administration switches can be controlled
by a single centralized controlled OpenFlow controller. Distinctive Python and Java based
Open Flow controller are accessible for Software Defined Networking. This paper actualizes
Ryu, POX and Pyretic Open Flow based Python controller in tree organizing topology over
Software Defined Networking. The consequence of this paper demonstrates that these Python
based Open Flow controller performs well finished SDN. All the usage of various controller
has been finished utilizing Mininet Emulator. SDN gives some incredible highlights that
permit the system suppliers and managers to go about as quick as conceivable to access, trade
and refresh any framework effortlessly. It comprises of decoupling the control and data
planes of a system. It depends on the way that the least complex capacity of a change is to
forward parcels as per an arrangement of tenets. Be that as it may, the principles took after by
the change to forward packets are overseen by a software based controller. One inspiration of
SDN is to perform organize assignments that wasn't possible without extra software for every
6
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one of the exchanging components. It permits abstracting the fundamental framework and
program and open stream of information into the system by isolating the control plane and
the data plane. It has been picking up an awesome prominence both in the examination
correspondence and industry. Most system administrators and proprietors are currently
investigating SDN. For instance, Google has changed over to Open Flow and SDN for its
inter data center arrange. Distinctive sorts of controller in SDN innovation are being utilized
for watching the execution of systems administration framework. This paper dissects
execution of various Open Flow based controllers in Software Defined Networking. All the
assessment has been finished utilizing Mininet Emulator. The consequence of this paper
demonstrates pyretic controller indicates better execution over Software Defined Networking
contrast with Ryu and POX controller. Future works includes execution investigation of
various Open Flow based controller over Software Defined Remote Networks.
Methods and Design
Software-Defined Networks and Open Flow
The technique of network organizing which is being noticed now includes Software-
Defined Network (SDN). Basically, the SDN isolates both transmitting data and its control
functionalities of the devices the used in networking process such as packet switches, LAN
switches and routers, with effectively defined Application Programming Interface (API)
among the two. Interestingly,for a large enterprise, switches, network and other network
devices incorporates data as well as the control functions. This makes it hard to modify the
infrastructure of the network and activity, to extensive scale expansion of end systems, the
virtual networks and the virtual machines. The SDN’s attributes are inspected in this section,
then the specifications of OpenFlow are portrayed. This is considered as the standard method
to for SDN implementation(Basheer Al-Somaidai, 2015).
Network Requirements’ Evolution
Initially,in-depth information of SDNs are examined which prompts the demand for
an adaptable and responsive way of controlling the traffic flow inside a network/ Internet.
The major key driving component includes undeniably far reaching utilization of Server
Virtualization. By and large, the server virtualization covers server assets, consolidating the
number and individual physical servers' personality, processors, and the OS from the clients
of the server. This covering makes it possible to portion a solitary machine into different,
7
program and open stream of information into the system by isolating the control plane and
the data plane. It has been picking up an awesome prominence both in the examination
correspondence and industry. Most system administrators and proprietors are currently
investigating SDN. For instance, Google has changed over to Open Flow and SDN for its
inter data center arrange. Distinctive sorts of controller in SDN innovation are being utilized
for watching the execution of systems administration framework. This paper dissects
execution of various Open Flow based controllers in Software Defined Networking. All the
assessment has been finished utilizing Mininet Emulator. The consequence of this paper
demonstrates pyretic controller indicates better execution over Software Defined Networking
contrast with Ryu and POX controller. Future works includes execution investigation of
various Open Flow based controller over Software Defined Remote Networks.
Methods and Design
Software-Defined Networks and Open Flow
The technique of network organizing which is being noticed now includes Software-
Defined Network (SDN). Basically, the SDN isolates both transmitting data and its control
functionalities of the devices the used in networking process such as packet switches, LAN
switches and routers, with effectively defined Application Programming Interface (API)
among the two. Interestingly,for a large enterprise, switches, network and other network
devices incorporates data as well as the control functions. This makes it hard to modify the
infrastructure of the network and activity, to extensive scale expansion of end systems, the
virtual networks and the virtual machines. The SDN’s attributes are inspected in this section,
then the specifications of OpenFlow are portrayed. This is considered as the standard method
to for SDN implementation(Basheer Al-Somaidai, 2015).
Network Requirements’ Evolution
Initially,in-depth information of SDNs are examined which prompts the demand for
an adaptable and responsive way of controlling the traffic flow inside a network/ Internet.
The major key driving component includes undeniably far reaching utilization of Server
Virtualization. By and large, the server virtualization covers server assets, consolidating the
number and individual physical servers' personality, processors, and the OS from the clients
of the server. This covering makes it possible to portion a solitary machine into different,
7
independent servers, and directing equipment assets.It likewise makes it conceivable to move
a server rapidly starting with one machine then onto the next for balancing the load or for
dynamic switchover, where there is any failure in the machine. To manage the Bigdata
applications and to implement cloud computing, the server virtualization has turned into a
focal component. In any case, it makes issues with customary network architectures. One of
the issue includes Virtual LANs’ (VLANs) configuration. The network managersare required
to ensure that the VLAN utilized with the help of VM (Virtual Machine) which is allocated to
switch pot. It is same as in the physical server which runs on VM. In any case, with the
virtual machine being mobile, the VLAN must be reconfigured each time when a virtual
server is moved and it is highly significant (Bholebawa and Dalal, 2016).
For coordinating the server virtualization’s adaptability, the network supervisor
should have the capacity to progressively include drop, and then change the network profiles
and resources. Such a methodology is difficult to achieve when there are standard system
switches, where the control rationale for each switch is co-situated with the exchanging
rationale.
Theserver virtualization’s other impact includes that, from the traditional client-server
model the traffic flows varies generously. Ordinarily, among the virtual servers a lot of traffic
is present, and this traffic is maintained by access control. Forhandling the network resources,
an adaptable way is demanded as the flow change in server to sever in appropriate location
and their intensity over specific time. The other factor which prompts the requirement for
quick reaction forthe network resources allocation is the expanding usage by the
representatives of mobile devices. For example, cell phones,notebooks and tablets for
accessing the resources of the enterprise. The managers of the network should have the
capacity to react to instantly charging resources, security necessities and Quality of Service
(QoS).
For traffic flow management, the infrastructure of the existing network can react to
the changing prerequisites, by giving separated the levels of Quality of Services and security
in each individual flows, however the procedure can be exceptionally tedious if the
undertaking network is vast or if it includes devices used in networks from different sellers.
The manager of the network should arrange every seller's equipment independently,then also
modify their execution level and the parameters of security on a basis of, each session and on
the basis of per-application. In an extensively hugeenterprise, each time another virtual
machine is raised, and it could take hours or many days for the manager of the network to
carry out the essential reconfiguration. The architecture of SDN and the OpenFlow standard
8
a server rapidly starting with one machine then onto the next for balancing the load or for
dynamic switchover, where there is any failure in the machine. To manage the Bigdata
applications and to implement cloud computing, the server virtualization has turned into a
focal component. In any case, it makes issues with customary network architectures. One of
the issue includes Virtual LANs’ (VLANs) configuration. The network managersare required
to ensure that the VLAN utilized with the help of VM (Virtual Machine) which is allocated to
switch pot. It is same as in the physical server which runs on VM. In any case, with the
virtual machine being mobile, the VLAN must be reconfigured each time when a virtual
server is moved and it is highly significant (Bholebawa and Dalal, 2016).
For coordinating the server virtualization’s adaptability, the network supervisor
should have the capacity to progressively include drop, and then change the network profiles
and resources. Such a methodology is difficult to achieve when there are standard system
switches, where the control rationale for each switch is co-situated with the exchanging
rationale.
Theserver virtualization’s other impact includes that, from the traditional client-server
model the traffic flows varies generously. Ordinarily, among the virtual servers a lot of traffic
is present, and this traffic is maintained by access control. Forhandling the network resources,
an adaptable way is demanded as the flow change in server to sever in appropriate location
and their intensity over specific time. The other factor which prompts the requirement for
quick reaction forthe network resources allocation is the expanding usage by the
representatives of mobile devices. For example, cell phones,notebooks and tablets for
accessing the resources of the enterprise. The managers of the network should have the
capacity to react to instantly charging resources, security necessities and Quality of Service
(QoS).
For traffic flow management, the infrastructure of the existing network can react to
the changing prerequisites, by giving separated the levels of Quality of Services and security
in each individual flows, however the procedure can be exceptionally tedious if the
undertaking network is vast or if it includes devices used in networks from different sellers.
The manager of the network should arrange every seller's equipment independently,then also
modify their execution level and the parameters of security on a basis of, each session and on
the basis of per-application. In an extensively hugeenterprise, each time another virtual
machine is raised, and it could take hours or many days for the manager of the network to
carry out the essential reconfiguration. The architecture of SDN and the OpenFlow standard
8
gives an open design which has control works that are confined from the system gadgets and
set in accessible control servers. This network setup establishes the essential organization to
be excellent for applications and system administrations, engaging the system to be managed
as a legitimate substance (Bholebawa, Jha and Dalal, 2015).
Architecture of SDN
The below Figure delineates the SDN’s logical structure. A focal controller does all
the complicated functions along with naming, declaration of the policy, security checks and
routing. The SDN Control Plane is constituted as this plane, which comprises of either one
ore number of SDN servers.
The SDN Controller characterizes the information streams that happen at the data
plane of SDN. Each course by this framework should get firstly assent from the network
system controller. It authenticates the data plane framework based on its tolerance. If the
network controller permits the stream, then it will enlist the course for the stream to be taken
9
set in accessible control servers. This network setup establishes the essential organization to
be excellent for applications and system administrations, engaging the system to be managed
as a legitimate substance (Bholebawa, Jha and Dalal, 2015).
Architecture of SDN
The below Figure delineates the SDN’s logical structure. A focal controller does all
the complicated functions along with naming, declaration of the policy, security checks and
routing. The SDN Control Plane is constituted as this plane, which comprises of either one
ore number of SDN servers.
The SDN Controller characterizes the information streams that happen at the data
plane of SDN. Each course by this framework should get firstly assent from the network
system controller. It authenticates the data plane framework based on its tolerance. If the
network controller permits the stream, then it will enlist the course for the stream to be taken
9
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as well as it incorporates an entry for that stream in all individual switches as the same way.
With each and every mind boggling limit included with the help of network controller,
switches simply administer stream tables whose entries can be populated just by the
controller. Correspondence between the controller and the switches utilizes an
institutionalized convention and API. Most generally this interface is the OpenFlow
particular, examined in this manner(Hendriks et al., 2018). The SDN building is shockingly
versatile; the SDN can be worked along with various sorts of network switches and at various
tradition layers. The SDN network controllers and switches could be realized for the used
Ethernet switches at layer 2. In layer 3, the internet switches used. In transport (Layer 4),
interchange, or application layer trading and coordinating. SDN works based on the
fundamental limits found on frameworks organization devices, which essentially incorporate
sending bundles in perspective of some sort of stream definition.
In a SDN design, a switch plays out the accompanying capacities:
The switch embodies and advances the primary parcel of a stream to a SDN
controller, empowering the controller to choose whether the stream ought to be added
to the switch stream table(Jarschel, 2018).
The switch advances approaching bundles out the proper port in light of the stream
table. The stream table may incorporate need data managed by the controller.
The switch can drop bundles on a specific stream, briefly or for all time, as managed
by the controller. Bundle dropping can be utilized for security purposes, checking
Denial-of-Service (DoS) assaults or activity administration necessities(Northbound
Networks, 2018).
Open FlowSwitch Architecture
The below architecture shows the major structure of the Open Flow condition. A SDN
controller talks with Open Flow-great switches using the Open Flow tradition manages over
the SSL (Secure Sockets Layer). The changes in each partner with other Open Flow switches
and, conceivably, and to end-customer devices that are the sources and objectives of package
streams. Inside each switch, a movement of tables typically executed in hardware or firmware
are used to manage the surges of bundles through the switch (Javed et al., 2018).
10
With each and every mind boggling limit included with the help of network controller,
switches simply administer stream tables whose entries can be populated just by the
controller. Correspondence between the controller and the switches utilizes an
institutionalized convention and API. Most generally this interface is the OpenFlow
particular, examined in this manner(Hendriks et al., 2018). The SDN building is shockingly
versatile; the SDN can be worked along with various sorts of network switches and at various
tradition layers. The SDN network controllers and switches could be realized for the used
Ethernet switches at layer 2. In layer 3, the internet switches used. In transport (Layer 4),
interchange, or application layer trading and coordinating. SDN works based on the
fundamental limits found on frameworks organization devices, which essentially incorporate
sending bundles in perspective of some sort of stream definition.
In a SDN design, a switch plays out the accompanying capacities:
The switch embodies and advances the primary parcel of a stream to a SDN
controller, empowering the controller to choose whether the stream ought to be added
to the switch stream table(Jarschel, 2018).
The switch advances approaching bundles out the proper port in light of the stream
table. The stream table may incorporate need data managed by the controller.
The switch can drop bundles on a specific stream, briefly or for all time, as managed
by the controller. Bundle dropping can be utilized for security purposes, checking
Denial-of-Service (DoS) assaults or activity administration necessities(Northbound
Networks, 2018).
Open FlowSwitch Architecture
The below architecture shows the major structure of the Open Flow condition. A SDN
controller talks with Open Flow-great switches using the Open Flow tradition manages over
the SSL (Secure Sockets Layer). The changes in each partner with other Open Flow switches
and, conceivably, and to end-customer devices that are the sources and objectives of package
streams. Inside each switch, a movement of tables typically executed in hardware or firmware
are used to manage the surges of bundles through the switch (Javed et al., 2018).
10
SDNs, executed using Open Flow, give an awesome, dealer self-sufficient approach to
manage administering complex frameworks with dynamic solicitations. The item portrayed
framework can continue utilizing a substantial number of the significant framework
progressions starting at now set up, for instance, virtual LANs and a MPLS structure.SDNs
and OpenFlow are probably going to end up ordinary in extensive transporter systems, cloud
foundations, and different systems that help the utilization of huge information.
Analysis and Results
SDN (Software Defined Network)
The Mininet represents that the emulator which is used to enhance the prototyping
process of SDN along with allocated resources. This Mininet makes virtual frameworks
shown in the following. The Controller plane used to settle on making routing decisions; a
network switch is to send the parcels in perspective of the controller's directing choices. The
switch supports the stream entry implanted by the controller to the stream table of the
network switch. It will get rid of the need to achieve the controller for routing decisions for
each bundle, along these lines decreasing the idleness of the back to back packets after the
firstpacket (Kumar and Sood, 2016).
11
manage administering complex frameworks with dynamic solicitations. The item portrayed
framework can continue utilizing a substantial number of the significant framework
progressions starting at now set up, for instance, virtual LANs and a MPLS structure.SDNs
and OpenFlow are probably going to end up ordinary in extensive transporter systems, cloud
foundations, and different systems that help the utilization of huge information.
Analysis and Results
SDN (Software Defined Network)
The Mininet represents that the emulator which is used to enhance the prototyping
process of SDN along with allocated resources. This Mininet makes virtual frameworks
shown in the following. The Controller plane used to settle on making routing decisions; a
network switch is to send the parcels in perspective of the controller's directing choices. The
switch supports the stream entry implanted by the controller to the stream table of the
network switch. It will get rid of the need to achieve the controller for routing decisions for
each bundle, along these lines decreasing the idleness of the back to back packets after the
firstpacket (Kumar and Sood, 2016).
11
The Mininet emulator arranges the hosts by executing the below given command.
sudomn –topo=single,3 –mac –
switch=ovskcontroller=remote,ip=192.168.3.50,port=6633
The network controller is chosen as POX controller. Once the network system is
established, the network controller should be instantiated. This network controller is working
as a remote controller on the IP address 192.168.25.128 over port 6633. The below image
demonstrates the data of the Open Flow change associated with the network controller. The
framework controller is up and now associated with the Open Flow switch, which is on IP
address 192.168.3.32. The virtual hosts H1, H2 and H3 that are made are associated to the
Open Flow switch by means of virtual Ethernet joins. Leading a ping all the tests decide the
availability of the considerable number of hosts to the system (ZoherBholebawa, Kumar Jha
and D. Dalal, 2018). To decide the inactivity of packets in SDN, a ping test from H1 to H2 is
directed as appeared in below(Molina, Jacob and Astarloa, 2016).
12
sudomn –topo=single,3 –mac –
switch=ovskcontroller=remote,ip=192.168.3.50,port=6633
The network controller is chosen as POX controller. Once the network system is
established, the network controller should be instantiated. This network controller is working
as a remote controller on the IP address 192.168.25.128 over port 6633. The below image
demonstrates the data of the Open Flow change associated with the network controller. The
framework controller is up and now associated with the Open Flow switch, which is on IP
address 192.168.3.32. The virtual hosts H1, H2 and H3 that are made are associated to the
Open Flow switch by means of virtual Ethernet joins. Leading a ping all the tests decide the
availability of the considerable number of hosts to the system (ZoherBholebawa, Kumar Jha
and D. Dalal, 2018). To decide the inactivity of packets in SDN, a ping test from H1 to H2 is
directed as appeared in below(Molina, Jacob and Astarloa, 2016).
12
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Investigation
When observing the above given image, the first packet took 21.8 ms for
transmission. For all successive packets delivery, it takes some additional time.
When comparing to the first packet, the sequential packets consumes less amount
of time.
The purpose behind the first packet in high time consumption is that it processes
the routing decision. Because it is a first transmitting packet. Once the network
controller wrapped up the stream administrator for the first packet, the network
switch supports the stream monitor in its stream table for 30s.
Then the data packets are sent continuously by the network switch without
reaching the network controller to choose the routing direction.
After completing the 30s, the packet is combined along with the stream table and
then cleared. Then again the method is re-executed.
In this project demonstrates that the data packet latency of the SDN is in particular not
as much as that for the inheritance systems. In this way the throughput is increased similarly.
Numerous former execution parameters like CPU use and transmission capacity can likewise
be estimated utilizing charge such as iperf in Mininet. This command provides the transfer
speed utilization of the connection. In this way SDN is the eventual fate of the systems
administration world with preferred execution over the heritage HDNs (N. Shivayogimath
and Uma Reddy, 2018).
Designing the Open Flow Network by using Simulation Tool
A discussion on openFlow network design done by simulation tool will be carried out
in this section. Testing the simulation environment is essential to design any type of network.
Because, to make the network with cost-effective and performance efficient, the simulation
environment's functionality is important. Before executing the simulation in real
environment, it is necessary to figured out the tentative analytical results should be
performed. To test applications, there are several approaches available such as QUALNET,
OPNET, NS2 and OMNET (N. Shivayogimath and Uma Reddy, 2018).
It is easy to install these kinds of simulation tools but at the same time, we could not
deal with parameters in the real time implementation. So we need to check, its deploy ability,
how it flexible to the environment, its scalability and how it will act as realistic. In
OpenFlow enabled hardware switch, the above mentioned features re applied in performance
13
When observing the above given image, the first packet took 21.8 ms for
transmission. For all successive packets delivery, it takes some additional time.
When comparing to the first packet, the sequential packets consumes less amount
of time.
The purpose behind the first packet in high time consumption is that it processes
the routing decision. Because it is a first transmitting packet. Once the network
controller wrapped up the stream administrator for the first packet, the network
switch supports the stream monitor in its stream table for 30s.
Then the data packets are sent continuously by the network switch without
reaching the network controller to choose the routing direction.
After completing the 30s, the packet is combined along with the stream table and
then cleared. Then again the method is re-executed.
In this project demonstrates that the data packet latency of the SDN is in particular not
as much as that for the inheritance systems. In this way the throughput is increased similarly.
Numerous former execution parameters like CPU use and transmission capacity can likewise
be estimated utilizing charge such as iperf in Mininet. This command provides the transfer
speed utilization of the connection. In this way SDN is the eventual fate of the systems
administration world with preferred execution over the heritage HDNs (N. Shivayogimath
and Uma Reddy, 2018).
Designing the Open Flow Network by using Simulation Tool
A discussion on openFlow network design done by simulation tool will be carried out
in this section. Testing the simulation environment is essential to design any type of network.
Because, to make the network with cost-effective and performance efficient, the simulation
environment's functionality is important. Before executing the simulation in real
environment, it is necessary to figured out the tentative analytical results should be
performed. To test applications, there are several approaches available such as QUALNET,
OPNET, NS2 and OMNET (N. Shivayogimath and Uma Reddy, 2018).
It is easy to install these kinds of simulation tools but at the same time, we could not
deal with parameters in the real time implementation. So we need to check, its deploy ability,
how it flexible to the environment, its scalability and how it will act as realistic. In
OpenFlow enabled hardware switch, the above mentioned features re applied in performance
13
analysis. According to this, the network will be designed. Then the virtual network will be
deployed. In this project the Mininet Simulator and Emulator is applied to create the virtual
host network, OpenFlowcontrollers, Openflow protocol enabled switches and established the
secured links between supports SDN, standard Linux Environment and customized
OpenFlow topologies.
Establishing the Network Model
Designing the virtual network in the PC will be carried out using Mininet - Command
Line Interface. The network is launched by writing the basic command 'mn' on the command
line. In Linux machine environment, a network with two hosts and one switch can be
designed. In the predefined network topologies, various commands are used. In Mininet,
Python coding is used as backend that can create topologies. Then the commands are
executed and the necessary details are displayed.
To launch the custom model of network, the below given command will be executed.
sudomn --custom 32host-4switches.py --topotoponame --mac
Then the network model along with following parameters is establshed
32 virtual hosts established. All have individual IP address
14
deployed. In this project the Mininet Simulator and Emulator is applied to create the virtual
host network, OpenFlowcontrollers, Openflow protocol enabled switches and established the
secured links between supports SDN, standard Linux Environment and customized
OpenFlow topologies.
Establishing the Network Model
Designing the virtual network in the PC will be carried out using Mininet - Command
Line Interface. The network is launched by writing the basic command 'mn' on the command
line. In Linux machine environment, a network with two hosts and one switch can be
designed. In the predefined network topologies, various commands are used. In Mininet,
Python coding is used as backend that can create topologies. Then the commands are
executed and the necessary details are displayed.
To launch the custom model of network, the below given command will be executed.
sudomn --custom 32host-4switches.py --topotoponame --mac
Then the network model along with following parameters is establshed
32 virtual hosts established. All have individual IP address
14
4 OpenFLow software switches are established. The virtual Ethernet cable is conected
with 8 virtual hosts.
For each IP addresses the MAC address is set.
Then the switches and remote controllers are binded together by configuring them.
Figure 1Flow Chart of the Network Model
In general, by utilizing the various performance metrics, the performance of the
designed network is carried out. In our case, we have done the performance analysis process
between TCP and UDP and network connectivity nodes, throughput bandwidth monitoring.
After executing the ping command to deliver the echo request message by ICMP the network
connectivity is tested. The testing process will be completed after waiting and giving reply
for verifying the IP connectivity among defined nodes(P, 2013).
15
with 8 virtual hosts.
For each IP addresses the MAC address is set.
Then the switches and remote controllers are binded together by configuring them.
Figure 1Flow Chart of the Network Model
In general, by utilizing the various performance metrics, the performance of the
designed network is carried out. In our case, we have done the performance analysis process
between TCP and UDP and network connectivity nodes, throughput bandwidth monitoring.
After executing the ping command to deliver the echo request message by ICMP the network
connectivity is tested. The testing process will be completed after waiting and giving reply
for verifying the IP connectivity among defined nodes(P, 2013).
15
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Figure 2 Linux machine executing Mininet console
Figure 3 Connectivity test between nodes
The above screenshot shows that the successful transmission of echo request packets.
The packet is received by the node h30. The statistics of the ping among these two nodes are
shown in the screenshot. Then we have to check that each hosts ping among them and the
exact traffic can be monitored by host(Salvadori et al., 2011).
To complete this process, xterms will be created for some of hosts. Then the
generated ICMP traffic in each terminal we need to analyze the traffic of the generated
ICMP. In the virtual network, the xterm terminal binds the virtual network to the hosts. It is
used to run the commands which are more interactive and to monitor the debug output. The
ping test will be done among h2 and h30. After that the performance analysis will be carried
out.
To print the packets that are seen by the host will be utilized, by executing the
tcpdump command. The packets that seen by selected hosts, the echo request message will be
sent when the ping is executed and these will be displayed in result window.
The ping packets are moving into the controller, as the flood them out into all
interfaces but this process is exceptional for the sending one. The logical connectivity among
16
Figure 3 Connectivity test between nodes
The above screenshot shows that the successful transmission of echo request packets.
The packet is received by the node h30. The statistics of the ping among these two nodes are
shown in the screenshot. Then we have to check that each hosts ping among them and the
exact traffic can be monitored by host(Salvadori et al., 2011).
To complete this process, xterms will be created for some of hosts. Then the
generated ICMP traffic in each terminal we need to analyze the traffic of the generated
ICMP. In the virtual network, the xterm terminal binds the virtual network to the hosts. It is
used to run the commands which are more interactive and to monitor the debug output. The
ping test will be done among h2 and h30. After that the performance analysis will be carried
out.
To print the packets that are seen by the host will be utilized, by executing the
tcpdump command. The packets that seen by selected hosts, the echo request message will be
sent when the ping is executed and these will be displayed in result window.
The ping packets are moving into the controller, as the flood them out into all
interfaces but this process is exceptional for the sending one. The logical connectivity among
16
different hosts will be made before the physical connectivity is established among hops. This
process will be done by resolving the physical address throughout the logical address with the
help of ARP protocol. So that the ARP request message can be broadcasted in entire virtual
network. thenthe ARP reply message is unicasted among all nodes(Shamim et al., 2018).
Then the address resolution process will be done. After completing this process,
ICMP echo request message will be transferred with the help of source host. To respond all
echo request messages, the ICMP echo reply messages will be sent. These messages are very
easy to view. In the process of resolving address, the controller will be added into the flow
entries.
Figure 4Thehost h2Xterm
Figure 5 Host h10 xterm
Figure 6 Host h20 xterm
17
process will be done by resolving the physical address throughout the logical address with the
help of ARP protocol. So that the ARP request message can be broadcasted in entire virtual
network. thenthe ARP reply message is unicasted among all nodes(Shamim et al., 2018).
Then the address resolution process will be done. After completing this process,
ICMP echo request message will be transferred with the help of source host. To respond all
echo request messages, the ICMP echo reply messages will be sent. These messages are very
easy to view. In the process of resolving address, the controller will be added into the flow
entries.
Figure 4Thehost h2Xterm
Figure 5 Host h10 xterm
Figure 6 Host h20 xterm
17
Figure 7 Host h30 xterms
Here, ping test is
performed between host h
2
and an unavailable host h
40
in a network.
Here, ping test is
performed between host h
2
and an unavailable host h
40
18
Here, ping test is
performed between host h
2
and an unavailable host h
40
in a network.
Here, ping test is
performed between host h
2
and an unavailable host h
40
18
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in a network.
In this case the ping test is carried out among host h2 and an unavailable host h40 in
the network.Then the unavailable host h40 will be resolved by the h2. Here h2 sends the ARP
request message to other hosts in the network(SDxCentral, 2018).
Figure 8 Host h2 xterms in the case 2
Figure 9 Host h10 in case 2
In this case, for the designed virtual network, the performance analysis will be carried
out. Before that we have to analyze the bandwidth utilization among all hosts in the network.
19
In this case the ping test is carried out among host h2 and an unavailable host h40 in
the network.Then the unavailable host h40 will be resolved by the h2. Here h2 sends the ARP
request message to other hosts in the network(SDxCentral, 2018).
Figure 8 Host h2 xterms in the case 2
Figure 9 Host h10 in case 2
In this case, for the designed virtual network, the performance analysis will be carried
out. Before that we have to analyze the bandwidth utilization among all hosts in the network.
19
Figure 10 Host h20 Xterm
Figure 11 Host h30 Xterms
Figure 12 Result of Performance Test
20
Figure 11 Host h30 Xterms
Figure 12 Result of Performance Test
20
The above screenshot shows that the result of the performance test which is carried
out. The tool measures the TCP bandwidth, and it allows the tuning of different parameters as
well as the characteristics of the UDP.To analyze the bandwidth of TCP among host h1 and
h32, various iterations will be done. Throughout the obtained results from all iterations, the
performance will be evaluated.
Figure 13Xterm of client (h32) and server (h2)node executing TCP
21
out. The tool measures the TCP bandwidth, and it allows the tuning of different parameters as
well as the characteristics of the UDP.To analyze the bandwidth of TCP among host h1 and
h32, various iterations will be done. Throughout the obtained results from all iterations, the
performance will be evaluated.
Figure 13Xterm of client (h32) and server (h2)node executing TCP
21
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Figure 14Xterm of client (h32) and the server (h2) node executing UDP
When the communication is going on, there were 2.2% of packet loss was occurred. It
will be enhanced by congestion reduction process happened by the irrelevant network
load(ZoherBholebawa, Kumar Jha and D. Dalal, 2018).
Conclusion
In the future, the NGN (Next Generation Networks) and also advances in web
technologies, Software Defined Systems administration to utilize the OpenFlow convention
and these will be the most sent systems administration engineering. OpenFlow conventions
give benchmarks to directing and conveyance of packets on a switch. Open Flow Controller
utilizes the Open Flow convention to associate and design the system gadgets with a specific
end goal to decide the best way for application activity. In this paper, a few Open Flow based
controller has been actualized independently and finished Software Defined Networking. All
the assessment has been finished utilizing Mininet Emulator. The consequence of this paper
demonstrates pyretic controller indicates better execution over Software Defined Networking
contrast with Ryu and POX controller. Future works includes execution investigation of
various Open Flow based controller over Software Defined Wireless Networks (SDWN). The
22
When the communication is going on, there were 2.2% of packet loss was occurred. It
will be enhanced by congestion reduction process happened by the irrelevant network
load(ZoherBholebawa, Kumar Jha and D. Dalal, 2018).
Conclusion
In the future, the NGN (Next Generation Networks) and also advances in web
technologies, Software Defined Systems administration to utilize the OpenFlow convention
and these will be the most sent systems administration engineering. OpenFlow conventions
give benchmarks to directing and conveyance of packets on a switch. Open Flow Controller
utilizes the Open Flow convention to associate and design the system gadgets with a specific
end goal to decide the best way for application activity. In this paper, a few Open Flow based
controller has been actualized independently and finished Software Defined Networking. All
the assessment has been finished utilizing Mininet Emulator. The consequence of this paper
demonstrates pyretic controller indicates better execution over Software Defined Networking
contrast with Ryu and POX controller. Future works includes execution investigation of
various Open Flow based controller over Software Defined Wireless Networks (SDWN). The
22
SDN software Defined Networking utilizing OpenFlow innovation will become the well most
installed network design in the future advanced web technologies. The advancement will be
implemented in the Next Generation Network. The research is looking forward ahead around
there by arrange designers to enhance flexibility and programmability of a system to produce
distinctive administration methodologies and to make more secure system. To the extent
future systems administration situation is concern, the organization of Open Flow arrange in
little office or grounds territory could be outlined as more efficient rather than the days that
not far for the internet to end up speedier, versatile, solid, safer and containing more
advanced features. In this project, we have implemented the Open Flow with organized
design with various contextual investigations has been executed. A proposed arranges
engineering is executed to use the software emulator prototype such as Mininet. It strengthens
the conventions carried out in Open Flow depends on the Python programming language. The
implementation part of this part shows that the dissected through ordering the test connection
among hosts. It is executed by the ICMP. In the network framework design, the ping test is
conducted based on the various Open Flow switches. Throughout the obtained result, we
analyzed that all the controlling tasks was carried out by the control plane, controller of
OpenFlow and network switch to done the task which sent to hosts. The first resound request
sends aside greater open door to provide address assurance by the network controller as well
as in the meantime flow sections. These are implemented in the inflow of the network switch
along with the predefined timeout. These are managed by the network controller and it
remembers the process of forward succeeding wrapped up without adding the settling
address. Then the performance of the ping test is analyzed among open and unavailable hosts
in the network design. The execution of all hosts in the network and their outputs are
investigated.
References
Basheer Al-Somaidai, M. (2015). Effects of Linux Scheduling Algorithms on Mininet
Network Performance. Communications, 3(5), p.128.
Bholebawa, I. and Dalal, U. (2016). Design and Performance Analysis of OpenFlow-Enabled
Network Topologies Using Mininet. International Journal of Computer and Communication
Engineering, 5(6), pp.419-429.
23
installed network design in the future advanced web technologies. The advancement will be
implemented in the Next Generation Network. The research is looking forward ahead around
there by arrange designers to enhance flexibility and programmability of a system to produce
distinctive administration methodologies and to make more secure system. To the extent
future systems administration situation is concern, the organization of Open Flow arrange in
little office or grounds territory could be outlined as more efficient rather than the days that
not far for the internet to end up speedier, versatile, solid, safer and containing more
advanced features. In this project, we have implemented the Open Flow with organized
design with various contextual investigations has been executed. A proposed arranges
engineering is executed to use the software emulator prototype such as Mininet. It strengthens
the conventions carried out in Open Flow depends on the Python programming language. The
implementation part of this part shows that the dissected through ordering the test connection
among hosts. It is executed by the ICMP. In the network framework design, the ping test is
conducted based on the various Open Flow switches. Throughout the obtained result, we
analyzed that all the controlling tasks was carried out by the control plane, controller of
OpenFlow and network switch to done the task which sent to hosts. The first resound request
sends aside greater open door to provide address assurance by the network controller as well
as in the meantime flow sections. These are implemented in the inflow of the network switch
along with the predefined timeout. These are managed by the network controller and it
remembers the process of forward succeeding wrapped up without adding the settling
address. Then the performance of the ping test is analyzed among open and unavailable hosts
in the network design. The execution of all hosts in the network and their outputs are
investigated.
References
Basheer Al-Somaidai, M. (2015). Effects of Linux Scheduling Algorithms on Mininet
Network Performance. Communications, 3(5), p.128.
Bholebawa, I. and Dalal, U. (2016). Design and Performance Analysis of OpenFlow-Enabled
Network Topologies Using Mininet. International Journal of Computer and Communication
Engineering, 5(6), pp.419-429.
23
Bholebawa, I., Jha, R. and Dalal, U. (2015). Performance Analysis of Proposed OpenFlow-
Based Network Architecture Using Mininet. Wireless Personal Communications, 86(2),
pp.943-958.
Hendriks, L., de O. Schmidt, R., Sadre, R., A. Bezerra, J. and Pras, A. (2018). Assessing the
Quality of Flow Measurements from OpenFlow Devices. [online] Tma.ifip.org. Available at:
http://tma.ifip.org/2016/papers/tma2016-final34.pdf [Accessed 31 Jul. 2018].
Jarschel, M. (2018). An Assessment of Applications and Performance Analysis of Software
Defined Networking. [online] Pdfs.semanticscholar.org. Available at:
https://pdfs.semanticscholar.org/2f25/6b99c00411a1cf9cd7ed464d3297f90cd08d.pdf
[Accessed 31 Jul. 2018].
Javed, U., Iqbal, A., Saleh, S., Ali Haider, S. and U. Ilyasb, M. (2018). A Stochastic Model
for Transit Latency in OpenFlow SDNs. [online] Xflowresearch.com. Available at:
http://xflowresearch.com/wp-content/uploads/2016/02/A_Stochastic_Model_for_Transit_Lat
ency-in-OpenFlow-SDNs.pdf [Accessed 31 Jul. 2018].
Kumar, D. and Sood, M. (2016). Software Defined Networks (S.D.N): Experimentation with
Mininet Topologies. Indian Journal of Science and Technology, 9(32).
Molina, E., Jacob, E. and Astarloa, A. (2016). Using OpenFlow to control redundant paths in
wireless networks. Network Protocols and Algorithms, 8(1), p.90.
N. Shivayogimath, C. and Uma Reddy, N. (2018). Performance Analysis of a Software
Defined Network Using Mininet. [online] Download-paper.com. Available at:
http://www.download-paper.com/wp-content/uploads/2017/04/2016-springer-Performance-
Analysis-of-a-Software-Defined-Network-Using-Mininet.pdf [Accessed 31 Jul. 2018].
Northbound Networks. (2018). How does SDN work?. [online] Available at:
https://northboundnetworks.com/blogs/sdn/how-does-sdn-work [Accessed 31 Jul. 2018].
P, R. (2013). Design and Implementation of Dynamic load balancer on OpenFlow enabled
SDNs. IOSR Journal of Engineering, 03(08), pp.32-41.
Salvadori, E., DoriguzziCorin, R., Gerola, M., Broglio, A. and De Pellegrini, F. (2011).
Demonstrating generalized virtual topologies in an openflow network. ACM SIGCOMM
Computer Communication Review, 41(4), p.458.
24
Based Network Architecture Using Mininet. Wireless Personal Communications, 86(2),
pp.943-958.
Hendriks, L., de O. Schmidt, R., Sadre, R., A. Bezerra, J. and Pras, A. (2018). Assessing the
Quality of Flow Measurements from OpenFlow Devices. [online] Tma.ifip.org. Available at:
http://tma.ifip.org/2016/papers/tma2016-final34.pdf [Accessed 31 Jul. 2018].
Jarschel, M. (2018). An Assessment of Applications and Performance Analysis of Software
Defined Networking. [online] Pdfs.semanticscholar.org. Available at:
https://pdfs.semanticscholar.org/2f25/6b99c00411a1cf9cd7ed464d3297f90cd08d.pdf
[Accessed 31 Jul. 2018].
Javed, U., Iqbal, A., Saleh, S., Ali Haider, S. and U. Ilyasb, M. (2018). A Stochastic Model
for Transit Latency in OpenFlow SDNs. [online] Xflowresearch.com. Available at:
http://xflowresearch.com/wp-content/uploads/2016/02/A_Stochastic_Model_for_Transit_Lat
ency-in-OpenFlow-SDNs.pdf [Accessed 31 Jul. 2018].
Kumar, D. and Sood, M. (2016). Software Defined Networks (S.D.N): Experimentation with
Mininet Topologies. Indian Journal of Science and Technology, 9(32).
Molina, E., Jacob, E. and Astarloa, A. (2016). Using OpenFlow to control redundant paths in
wireless networks. Network Protocols and Algorithms, 8(1), p.90.
N. Shivayogimath, C. and Uma Reddy, N. (2018). Performance Analysis of a Software
Defined Network Using Mininet. [online] Download-paper.com. Available at:
http://www.download-paper.com/wp-content/uploads/2017/04/2016-springer-Performance-
Analysis-of-a-Software-Defined-Network-Using-Mininet.pdf [Accessed 31 Jul. 2018].
Northbound Networks. (2018). How does SDN work?. [online] Available at:
https://northboundnetworks.com/blogs/sdn/how-does-sdn-work [Accessed 31 Jul. 2018].
P, R. (2013). Design and Implementation of Dynamic load balancer on OpenFlow enabled
SDNs. IOSR Journal of Engineering, 03(08), pp.32-41.
Salvadori, E., DoriguzziCorin, R., Gerola, M., Broglio, A. and De Pellegrini, F. (2011).
Demonstrating generalized virtual topologies in an openflow network. ACM SIGCOMM
Computer Communication Review, 41(4), p.458.
24
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Need help grading? Try our AI Grader for instant feedback on your assignments.
SDxCentral. (2018). What is an OpenFlow Controller? - SDxCentral. [online] Available at:
https://www.sdxcentral.com/sdn/definitions/sdn-controllers/openflow-controller/ [Accessed
31 Jul. 2018].
Shamim, S., Shisir, S., Hasan, A., Hasan, M. and Hossain, A. (2018). Performance Analysis
of Different Openflow based Controller Over Software Defined Networking. [online]
Globaljournals.org. Available at: https://globaljournals.org/GJCST_Volume18/3-
Performance-Analysis-of-Different.pdf [Accessed 31 Jul. 2018].
ZoherBholebawa, I., Kumar Jha, R. and D. Dalal, U. (2018). Performance Analysis of
Proposed OpenFlow-BasedNetwork Architecture Using Mininet. [online]
www.researchgate.net. Available at:
https://www.researchgate.net/publication/280803347_Performance_Analysis_of_Proposed_O
penFlow-Based_Network_Architecture_Using_Mininet [Accessed 21 Feb. 2015].
25
https://www.sdxcentral.com/sdn/definitions/sdn-controllers/openflow-controller/ [Accessed
31 Jul. 2018].
Shamim, S., Shisir, S., Hasan, A., Hasan, M. and Hossain, A. (2018). Performance Analysis
of Different Openflow based Controller Over Software Defined Networking. [online]
Globaljournals.org. Available at: https://globaljournals.org/GJCST_Volume18/3-
Performance-Analysis-of-Different.pdf [Accessed 31 Jul. 2018].
ZoherBholebawa, I., Kumar Jha, R. and D. Dalal, U. (2018). Performance Analysis of
Proposed OpenFlow-BasedNetwork Architecture Using Mininet. [online]
www.researchgate.net. Available at:
https://www.researchgate.net/publication/280803347_Performance_Analysis_of_Proposed_O
penFlow-Based_Network_Architecture_Using_Mininet [Accessed 21 Feb. 2015].
25
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