Network Infrastructure for APIC
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This report analyzes the geographical scope of the network of Asia Pacific International College (APIC), discusses the logical design of the newly created branch at Sydney, and explores virtualization methodologies in cloud computing.
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Running head: NETWORK INFRASTRUCTURE FOR APIC
Network Infrastructure for APIC
Name of the Student
Name of the University
Author Note
Network Infrastructure for APIC
Name of the Student
Name of the University
Author Note
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1
NETWORK INFRASTRUCTURE FOR APIC
Summary
This report aims to present the geographical scope of the network of Asia Pacific
International College, followed by the logical design of the newly created branch at Sydney
and talks about the virtualization methodologies in cloud computing. After providing a
graphical representation of the global reach of the institute’s network, a brief description is
given after which the report talks about the backbone devices required to implement such a
network as also the segmentation of the network and then lists the uses and current
implementations. Thereafter the logical design for the Sydney branch of APIC is suggested
with the three-layer hierarchical network diagram following which the network requirements
are discussed as well as type of IP and the method of IP addressing before mentioned detailed
subnet calculation in a tabular format. The report then talks about virtualization in cloud
computing where it suggests the two leading cloud service providers and discusses the
techniques of virtualization. Then after talking about dynamic scaling recommendations are
given and the report ends with concluding notes.
NETWORK INFRASTRUCTURE FOR APIC
Summary
This report aims to present the geographical scope of the network of Asia Pacific
International College, followed by the logical design of the newly created branch at Sydney
and talks about the virtualization methodologies in cloud computing. After providing a
graphical representation of the global reach of the institute’s network, a brief description is
given after which the report talks about the backbone devices required to implement such a
network as also the segmentation of the network and then lists the uses and current
implementations. Thereafter the logical design for the Sydney branch of APIC is suggested
with the three-layer hierarchical network diagram following which the network requirements
are discussed as well as type of IP and the method of IP addressing before mentioned detailed
subnet calculation in a tabular format. The report then talks about virtualization in cloud
computing where it suggests the two leading cloud service providers and discusses the
techniques of virtualization. Then after talking about dynamic scaling recommendations are
given and the report ends with concluding notes.
2
NETWORK INFRASTRUCTURE FOR APIC
Table of Contents
Introduction................................................................................................................................3
Discussion..................................................................................................................................4
Geographical Scope...............................................................................................................4
Backbone Devices..............................................................................................................4
Network Segments.............................................................................................................5
Uses and benefits................................................................................................................6
Logical Design.......................................................................................................................7
Subnetting Details..............................................................................................................8
Virtualization and Cloud Computing...................................................................................10
Cloud based solutions......................................................................................................10
Cloud Virtualization Techniques.....................................................................................11
AWS Dynamic Scaling....................................................................................................12
Azure Dynamic Scaling...................................................................................................13
Conclusion................................................................................................................................14
References................................................................................................................................15
NETWORK INFRASTRUCTURE FOR APIC
Table of Contents
Introduction................................................................................................................................3
Discussion..................................................................................................................................4
Geographical Scope...............................................................................................................4
Backbone Devices..............................................................................................................4
Network Segments.............................................................................................................5
Uses and benefits................................................................................................................6
Logical Design.......................................................................................................................7
Subnetting Details..............................................................................................................8
Virtualization and Cloud Computing...................................................................................10
Cloud based solutions......................................................................................................10
Cloud Virtualization Techniques.....................................................................................11
AWS Dynamic Scaling....................................................................................................12
Azure Dynamic Scaling...................................................................................................13
Conclusion................................................................................................................................14
References................................................................................................................................15
3
NETWORK INFRASTRUCTURE FOR APIC
Introduction
This report analyses and discusses the geographical scope of the network of Asia
Pacific International College, followed by the logical design of the network of the newly
created branch at Sydney and talks about the virtualization methodologies in cloud
computing. After providing a graphical representation of the global reach of the institute’s
network, a brief description is given after which the report talks about the backbone devices
required to implement such a network as also the segmentation of the network and then lists
the uses and current implementations. Thereafter the logical design for the Sydney branch of
APIC is suggested with the three-layer hierarchical network diagram following which the
network requirements are discussed as well as type of IP and the method of IP addressing
before mentioned detailed subnet calculation in a tabular format. The report then talks about
virtualization in cloud computing where it suggests the two leading cloud service providers
and discusses the techniques of virtualization (Yang et al. 2016). Then after talking about
dynamic scaling recommendations are given and the report ends with concluding notes.
Problem
Asia Pacific International College (APIC) has set up a new branch at Sydney where
the building has 8 floors. Each of the floors require 115 IP connections. Hence the primary
network to the branch needs must be broken into 8 subnets for ensuring effective and
efficient network access in every floor of the building. It also needs to be ensured that the
branch can connect to other branches of APIC, as well as access cloud services to share
company resources and services from all locations. For this, the required virtualization
techniques of cloud services are to be discussed with respect to requirements of APIC.
NETWORK INFRASTRUCTURE FOR APIC
Introduction
This report analyses and discusses the geographical scope of the network of Asia
Pacific International College, followed by the logical design of the network of the newly
created branch at Sydney and talks about the virtualization methodologies in cloud
computing. After providing a graphical representation of the global reach of the institute’s
network, a brief description is given after which the report talks about the backbone devices
required to implement such a network as also the segmentation of the network and then lists
the uses and current implementations. Thereafter the logical design for the Sydney branch of
APIC is suggested with the three-layer hierarchical network diagram following which the
network requirements are discussed as well as type of IP and the method of IP addressing
before mentioned detailed subnet calculation in a tabular format. The report then talks about
virtualization in cloud computing where it suggests the two leading cloud service providers
and discusses the techniques of virtualization (Yang et al. 2016). Then after talking about
dynamic scaling recommendations are given and the report ends with concluding notes.
Problem
Asia Pacific International College (APIC) has set up a new branch at Sydney where
the building has 8 floors. Each of the floors require 115 IP connections. Hence the primary
network to the branch needs must be broken into 8 subnets for ensuring effective and
efficient network access in every floor of the building. It also needs to be ensured that the
branch can connect to other branches of APIC, as well as access cloud services to share
company resources and services from all locations. For this, the required virtualization
techniques of cloud services are to be discussed with respect to requirements of APIC.
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NETWORK INFRASTRUCTURE FOR APIC
Geographical Scope
Figure 1: Geographical scope of APIC
The above diagram represents the wide geographical scope of the networks of
different branches of APIC. These branches are located in parts of US, Europe as well as in
cities like Perth, Canberra, Sydney of mainland Australia. There is also a branch in Tasmania.
All these branches are interconnected with each other including the newly created branch in
Sydney. This is accomplished by employing Global Area Network (GAN) for the internal
network of the organization in addition to internet connections at each branch (Di Minin,
Toivonen 2015).
Backbone Devices
The backbone devices that are required for setting up such a network are routers,
switches and firewalls.
Routers are responsible for forwarding packets among the networks through
processing of information that is stored in the packet or datagram in network layer (layer 3 of
OSI model) (Ramos, Kreutz and Verissimo 2015). These devices deal with providing
NETWORK INFRASTRUCTURE FOR APIC
Geographical Scope
Figure 1: Geographical scope of APIC
The above diagram represents the wide geographical scope of the networks of
different branches of APIC. These branches are located in parts of US, Europe as well as in
cities like Perth, Canberra, Sydney of mainland Australia. There is also a branch in Tasmania.
All these branches are interconnected with each other including the newly created branch in
Sydney. This is accomplished by employing Global Area Network (GAN) for the internal
network of the organization in addition to internet connections at each branch (Di Minin,
Toivonen 2015).
Backbone Devices
The backbone devices that are required for setting up such a network are routers,
switches and firewalls.
Routers are responsible for forwarding packets among the networks through
processing of information that is stored in the packet or datagram in network layer (layer 3 of
OSI model) (Ramos, Kreutz and Verissimo 2015). These devices deal with providing
5
NETWORK INFRASTRUCTURE FOR APIC
network access to clients and servers of each branch as also interconnecting with routers of
other branches to form a part of the internal network of the organization.
Switches are required for distributing the network access obtained from the router.
These devices filter and forward datagrams among the ports with respect to the MAC
addresses specified in packets of information. Switches typically come with several ports
enabling devices to be connected in a star topology.
Firewalls not just play an active role in providing security against malicious
applications but also protects network components from being hijacked and prevents other
exploits by providing proactive threat protection against zero-day attacks (Jeong et al 2015).
Firewalls can come in the form of standalone devices as well as software solutions.
Network Segments
The network in each branch is segmented into multiple subnets for efficiently providing
the network access. Advantages of subnetting the major network can be:
Improved performance through reduced congestion
If one subnet is compromised, the impact stays limited to that subnet
Network problems can be contained to specific parts of the network
VLANs can be used to control access of visitors in the network
Security of the network can also be improved by subnetting as it enables zoning of the
cyber security threats to limit the movement through the network. Such segregation or
segmentation is generally achieved by combining VLANs, firewalls and SDNs (Software
defined Networking.
Uses and benefits
The Global Area Network or GAN offers extensive geographical areas to be covered
by the network, helps centralize data of organizations having multiple branches, ensures
NETWORK INFRASTRUCTURE FOR APIC
network access to clients and servers of each branch as also interconnecting with routers of
other branches to form a part of the internal network of the organization.
Switches are required for distributing the network access obtained from the router.
These devices filter and forward datagrams among the ports with respect to the MAC
addresses specified in packets of information. Switches typically come with several ports
enabling devices to be connected in a star topology.
Firewalls not just play an active role in providing security against malicious
applications but also protects network components from being hijacked and prevents other
exploits by providing proactive threat protection against zero-day attacks (Jeong et al 2015).
Firewalls can come in the form of standalone devices as well as software solutions.
Network Segments
The network in each branch is segmented into multiple subnets for efficiently providing
the network access. Advantages of subnetting the major network can be:
Improved performance through reduced congestion
If one subnet is compromised, the impact stays limited to that subnet
Network problems can be contained to specific parts of the network
VLANs can be used to control access of visitors in the network
Security of the network can also be improved by subnetting as it enables zoning of the
cyber security threats to limit the movement through the network. Such segregation or
segmentation is generally achieved by combining VLANs, firewalls and SDNs (Software
defined Networking.
Uses and benefits
The Global Area Network or GAN offers extensive geographical areas to be covered
by the network, helps centralize data of organizations having multiple branches, ensures
6
NETWORK INFRASTRUCTURE FOR APIC
regularly updated data files, numerous applications of exchanging messages, sharing of
software, applications and other resources, facilitates global business, ensures high network
bandwidth, distribution and delegation of workload coupled with reduction in travelling
costs.
Some use cases of Global Area Network are:
Internet
Many of the Biggest banks
Leading airline businesses
Stock exchange brokers
Popular telecommunications companies
Satellite systems
Logical Design
Figure 2: 3-layer logical diagram
NETWORK INFRASTRUCTURE FOR APIC
regularly updated data files, numerous applications of exchanging messages, sharing of
software, applications and other resources, facilitates global business, ensures high network
bandwidth, distribution and delegation of workload coupled with reduction in travelling
costs.
Some use cases of Global Area Network are:
Internet
Many of the Biggest banks
Leading airline businesses
Stock exchange brokers
Popular telecommunications companies
Satellite systems
Logical Design
Figure 2: 3-layer logical diagram
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NETWORK INFRASTRUCTURE FOR APIC
The logical design diagram based on the three-layer hierarchical model is given
above. These three layers are core, distribution and access. The building of the company
branch at Sydney has eight floors each requiring 115 IP connections. The branch is also said
to have 4 servers for file sharing, printer sharing and networking purposes through DHCP and
DNS protocols (Korczyński, Król and van Eeten 2016). The branch router obtains the internet
access from the Internet service provider (ISP) and provides the network access to the devices
through a number of switches (Quach, Thaichon and Jebarajakirthy 2016). These are the
multilayer switch and switches of each floor. The Wireless LAN Controller ensure that
laptops can access the network from any floor of the building or any part of the campus.
Information generated in the network gets stored in the cloud database chosen by the
company and is thus accessible even from outside the range of the network or from different
branches.
Number of IP addresses required for the network of the Sydney branch are (115*8) =
920, therefore a network with maximum CIDR value of 22 is required which can provide
1022 assignable IP addresses. Hence a class B IP address is required for the clients and
servers in the Sydney branch with the major network: 172.168.100.0/22.
Classless Inter-Domain Routing (CIDR) also termed as supernetting is the means of
allowing a further flexible Internet Protocol allocation meaning more flexible addresses
against what was possible when using the original systems called classful IP addressing
(Singh 2015). Therefore, the available number of IP addresses increased substantially,
alongside heavy usage of NAT which significantly extends the usefulness of IPv4.
NETWORK INFRASTRUCTURE FOR APIC
The logical design diagram based on the three-layer hierarchical model is given
above. These three layers are core, distribution and access. The building of the company
branch at Sydney has eight floors each requiring 115 IP connections. The branch is also said
to have 4 servers for file sharing, printer sharing and networking purposes through DHCP and
DNS protocols (Korczyński, Król and van Eeten 2016). The branch router obtains the internet
access from the Internet service provider (ISP) and provides the network access to the devices
through a number of switches (Quach, Thaichon and Jebarajakirthy 2016). These are the
multilayer switch and switches of each floor. The Wireless LAN Controller ensure that
laptops can access the network from any floor of the building or any part of the campus.
Information generated in the network gets stored in the cloud database chosen by the
company and is thus accessible even from outside the range of the network or from different
branches.
Number of IP addresses required for the network of the Sydney branch are (115*8) =
920, therefore a network with maximum CIDR value of 22 is required which can provide
1022 assignable IP addresses. Hence a class B IP address is required for the clients and
servers in the Sydney branch with the major network: 172.168.100.0/22.
Classless Inter-Domain Routing (CIDR) also termed as supernetting is the means of
allowing a further flexible Internet Protocol allocation meaning more flexible addresses
against what was possible when using the original systems called classful IP addressing
(Singh 2015). Therefore, the available number of IP addresses increased substantially,
alongside heavy usage of NAT which significantly extends the usefulness of IPv4.
8
NETWORK INFRASTRUCTURE FOR APIC
Subnetting Details
Flo
or #
IPs
Requir
ed
IPs
Allocat
ed
Network
Address
CID
R
Subnet
Mask
Assignable
Range
Broadcast
Address
1 115 126 172.168.100
.0
/25 255.255.255
.128
172.168.100
.1 –
172.168.100
.126
172.168.100
.127
2 115 126 172.168.100
.128
/25 255.255.255
.128
172.168.100
.129 –
172.168.100
.254
172.168.100
.255
3 115 126 172.168.101
.0
/25 255.255.255
.128
172.168.101
.1 –
172.168.101
.126
172.168.101
.127
4 115 126 172.168.101
.128
/25 255.255.255
.128
172.168.101
.129 –
172.168.101
.254
172.168.101
.255
5 115 126 172.168.102
.0
/25 255.255.255
.128
172.168.102
.1 –
172.168.102
.126
172.168.102
.127
6 115 126 172.168.102 /25 255.255.255 172.168.102 172.168.102
NETWORK INFRASTRUCTURE FOR APIC
Subnetting Details
Flo
or #
IPs
Requir
ed
IPs
Allocat
ed
Network
Address
CID
R
Subnet
Mask
Assignable
Range
Broadcast
Address
1 115 126 172.168.100
.0
/25 255.255.255
.128
172.168.100
.1 –
172.168.100
.126
172.168.100
.127
2 115 126 172.168.100
.128
/25 255.255.255
.128
172.168.100
.129 –
172.168.100
.254
172.168.100
.255
3 115 126 172.168.101
.0
/25 255.255.255
.128
172.168.101
.1 –
172.168.101
.126
172.168.101
.127
4 115 126 172.168.101
.128
/25 255.255.255
.128
172.168.101
.129 –
172.168.101
.254
172.168.101
.255
5 115 126 172.168.102
.0
/25 255.255.255
.128
172.168.102
.1 –
172.168.102
.126
172.168.102
.127
6 115 126 172.168.102 /25 255.255.255 172.168.102 172.168.102
9
NETWORK INFRASTRUCTURE FOR APIC
.128 .128 .129 –
172.168.102
.254
.255
7 115 126 172.168.103
.0
/25 255.255.255
.128
172.168.103
.1 –
172.168.103
.126
172.168.103
.127
8 115 126 172.168.103
.128
/25 255.255.255
.128
172.168.103
.129 –
172.168.103
.254
172.168.103
.255
Virtualization and Cloud Computing
Cloud based solutions
Two organizations that provide computing and storage services based on cloud which
can be appropriate for Asia Pacific International College in hosting web and email servers are
Amazon and Microsoft with their proven AWS and Azure based products respectively.
Azure and AWS are solid cloud solutions which perform pretty much similarly in
roughly all of the use cases. The organizational requirements or business decisions are the
only criteria based on which companies end up choosing one against the other. When it
comes to flexible compute, storage, networking and pricing the basic abilities of these
solutions are almost same. The elements between Azure and AWS relating to public clouds
can be - autoscaling, self-service, instant provisioning security, compliance, identity access
management and pay-as-u-go pricing (Annette, Banu and Chandran 2015).
NETWORK INFRASTRUCTURE FOR APIC
.128 .128 .129 –
172.168.102
.254
.255
7 115 126 172.168.103
.0
/25 255.255.255
.128
172.168.103
.1 –
172.168.103
.126
172.168.103
.127
8 115 126 172.168.103
.128
/25 255.255.255
.128
172.168.103
.129 –
172.168.103
.254
172.168.103
.255
Virtualization and Cloud Computing
Cloud based solutions
Two organizations that provide computing and storage services based on cloud which
can be appropriate for Asia Pacific International College in hosting web and email servers are
Amazon and Microsoft with their proven AWS and Azure based products respectively.
Azure and AWS are solid cloud solutions which perform pretty much similarly in
roughly all of the use cases. The organizational requirements or business decisions are the
only criteria based on which companies end up choosing one against the other. When it
comes to flexible compute, storage, networking and pricing the basic abilities of these
solutions are almost same. The elements between Azure and AWS relating to public clouds
can be - autoscaling, self-service, instant provisioning security, compliance, identity access
management and pay-as-u-go pricing (Annette, Banu and Chandran 2015).
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NETWORK INFRASTRUCTURE FOR APIC
The SDK of AWS for PHP version 3 enables a developer in using of AWS for the PHP code
for building robust and effective applications by utilizing services like Amazon S3, Amazon
DynamoDB, Glacier and many others (VODĂ 2014). This is almost a similar process with
respect to how it is done using Azure. A key functionality that cloud services offer is the
storage capability. Although Amazon AWS’s storage services are the longest running ones,
those from Microsoft Azure are incredibly reliable too. As a result, both the solutions provide
all the features such as REST API access and encryption of server-side data (Baron and
Kotecha 2013). Azure’s storage mechanism is called Blob storage AWS’ is called Simple
Storage Service (S3). Azure’s SQL database service built on MS SQL Server. Hence both
web and email hosting requirements of the company APIC can be easily met with either of
the two solutions suggested above.
Figure 3: Access of AWS by Sydney branch for streaming web apps
NETWORK INFRASTRUCTURE FOR APIC
The SDK of AWS for PHP version 3 enables a developer in using of AWS for the PHP code
for building robust and effective applications by utilizing services like Amazon S3, Amazon
DynamoDB, Glacier and many others (VODĂ 2014). This is almost a similar process with
respect to how it is done using Azure. A key functionality that cloud services offer is the
storage capability. Although Amazon AWS’s storage services are the longest running ones,
those from Microsoft Azure are incredibly reliable too. As a result, both the solutions provide
all the features such as REST API access and encryption of server-side data (Baron and
Kotecha 2013). Azure’s storage mechanism is called Blob storage AWS’ is called Simple
Storage Service (S3). Azure’s SQL database service built on MS SQL Server. Hence both
web and email hosting requirements of the company APIC can be easily met with either of
the two solutions suggested above.
Figure 3: Access of AWS by Sydney branch for streaming web apps
11
NETWORK INFRASTRUCTURE FOR APIC
The above diagram shows how the web page domains are accessed from the Sydney
branch APIC especially streaming apps to view lectures or attend audio video sessions (Bilal
and Erbad 2017). The amazon S3 and Dynamo DB is used for storage virtualization purposes.
Cloud Virtualization Techniques
The methodologies used by APIC for virtualizing cloud services are network
virtualization, storage virtualizing, server virtualization and application virtualization.
Network Virtualization: It is a method in cloud computing that combines available
resources in the network through splitting of available bandwidth to separate channels, each
unique and distinct (Liang and Yu 2015). For APIC the connections of users in accessing the
company resources through the web portal as well maintaining uptime of mailing clients, this
technique has been adopted with cloud services to alleviate downtimes.
Storage Virtualizing: This technique, used by several storage area networks, gives users the
ability of pooling hardware storage spaces from various interconnected devices to simulate
single storage devices managed from single command consoles (Peng 2018). These services
are used by APIC for storing domain specific and configuration information of the company
website and mailing clients.
Server Virtualization: The technique performs masking of resources of servers and is used
for simulating physical servers through the number, identity, processor and operating system
(Li et al 2015). APIC uses cloud services to perform the work of web servers and mail
servers.
Application Virtualizations: Software based virtualizations in cloud computing deals with
abstracting the application layer and separation of it from operating system (Obasuyi and Sari
2015). Different applications of APIC like web apps, applets, mail interfaces are accessed
through the cloud service of AWS and Azure.
NETWORK INFRASTRUCTURE FOR APIC
The above diagram shows how the web page domains are accessed from the Sydney
branch APIC especially streaming apps to view lectures or attend audio video sessions (Bilal
and Erbad 2017). The amazon S3 and Dynamo DB is used for storage virtualization purposes.
Cloud Virtualization Techniques
The methodologies used by APIC for virtualizing cloud services are network
virtualization, storage virtualizing, server virtualization and application virtualization.
Network Virtualization: It is a method in cloud computing that combines available
resources in the network through splitting of available bandwidth to separate channels, each
unique and distinct (Liang and Yu 2015). For APIC the connections of users in accessing the
company resources through the web portal as well maintaining uptime of mailing clients, this
technique has been adopted with cloud services to alleviate downtimes.
Storage Virtualizing: This technique, used by several storage area networks, gives users the
ability of pooling hardware storage spaces from various interconnected devices to simulate
single storage devices managed from single command consoles (Peng 2018). These services
are used by APIC for storing domain specific and configuration information of the company
website and mailing clients.
Server Virtualization: The technique performs masking of resources of servers and is used
for simulating physical servers through the number, identity, processor and operating system
(Li et al 2015). APIC uses cloud services to perform the work of web servers and mail
servers.
Application Virtualizations: Software based virtualizations in cloud computing deals with
abstracting the application layer and separation of it from operating system (Obasuyi and Sari
2015). Different applications of APIC like web apps, applets, mail interfaces are accessed
through the cloud service of AWS and Azure.
12
NETWORK INFRASTRUCTURE FOR APIC
AWS Dynamic Scaling
The scaling strategy tells AWS Auto Scaling how to optimize the utilization of the
resources in one’s scaling plan. One can optimize for availability, for cost, or a balance of
both (Docs.aws.amazon.com 2019). Alternatively, one can also create his own custom
strategy, per the metrics and defined thresholds. One can set separate strategies for each
resource or resource type.
Figure 4: Auto start of exams on portal
(Source: docs.aws.amazon)
This diagram illustrates how the online exams of Asia Pacific International College
are initiated as per schedule on all branches using the cloud service including the Sydney
branch. This required the scaling policy to be configured with variation of systems involved
to be automatically adjusted as mentioned in the policy (Mickulicz, Narasimhan and Gandhi
2013).
When dynamic and predictive scaling features are enabled, the scaling strategy gets
shared among them (Villamizar et al. 2017). The available scaling strategies can be:
NETWORK INFRASTRUCTURE FOR APIC
AWS Dynamic Scaling
The scaling strategy tells AWS Auto Scaling how to optimize the utilization of the
resources in one’s scaling plan. One can optimize for availability, for cost, or a balance of
both (Docs.aws.amazon.com 2019). Alternatively, one can also create his own custom
strategy, per the metrics and defined thresholds. One can set separate strategies for each
resource or resource type.
Figure 4: Auto start of exams on portal
(Source: docs.aws.amazon)
This diagram illustrates how the online exams of Asia Pacific International College
are initiated as per schedule on all branches using the cloud service including the Sydney
branch. This required the scaling policy to be configured with variation of systems involved
to be automatically adjusted as mentioned in the policy (Mickulicz, Narasimhan and Gandhi
2013).
When dynamic and predictive scaling features are enabled, the scaling strategy gets
shared among them (Villamizar et al. 2017). The available scaling strategies can be:
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NETWORK INFRASTRUCTURE FOR APIC
Availability – Auto Scaling scales out resources and back in automatically for maintaining
utilization of resources around 40 percent. Such an option is useful when applications have
urgent or even unpredictable scaling requirements.
Availability and Costs – Auto Scaling scales resources in and out automatically for
maintaining utilization of resources around 50 percent. The option helps in maintaining
higher availability and even reduces costs.
Costs - Auto Scaling scales resources in and out to automatically maintain resource
utilization around 70 percent. Such an option comes in use when costs must be reduced when
the application can handle reduced buffer capacities even if there come unexpected changes.
Azure Dynamic Scaling
The recommend criteria for any component of the service for using dynamic scaling are:
1. Horizontal scalability of the component (like duplication to form several instances)
2. The variation in loads of the component over a period of time
If the above criteria is met, then dynamic scaling can be leveraged, however the benefits
obtained depend upon the dynamic nature of the load over time.
For enabling dynamic loading, one must navigate to Scale tab of the portal to enable
the particular service (note that there is no API available to do this programmatically at this
time). Dynamic scaling for cloud services is configured for every individual role (Ortiz
2017). When it comes to Virtual Machines (VM), dynamic scaling is configured for each set
of availabilities.
If dynamic scaling using CPU is selected, a new slider can be seen. The range of this
slider defines the typical CPU usages for that specific role. About 60% to 80% of the CPU
target is recommended by default. This only means that the machines might run significantly
NETWORK INFRASTRUCTURE FOR APIC
Availability – Auto Scaling scales out resources and back in automatically for maintaining
utilization of resources around 40 percent. Such an option is useful when applications have
urgent or even unpredictable scaling requirements.
Availability and Costs – Auto Scaling scales resources in and out automatically for
maintaining utilization of resources around 50 percent. The option helps in maintaining
higher availability and even reduces costs.
Costs - Auto Scaling scales resources in and out to automatically maintain resource
utilization around 70 percent. Such an option comes in use when costs must be reduced when
the application can handle reduced buffer capacities even if there come unexpected changes.
Azure Dynamic Scaling
The recommend criteria for any component of the service for using dynamic scaling are:
1. Horizontal scalability of the component (like duplication to form several instances)
2. The variation in loads of the component over a period of time
If the above criteria is met, then dynamic scaling can be leveraged, however the benefits
obtained depend upon the dynamic nature of the load over time.
For enabling dynamic loading, one must navigate to Scale tab of the portal to enable
the particular service (note that there is no API available to do this programmatically at this
time). Dynamic scaling for cloud services is configured for every individual role (Ortiz
2017). When it comes to Virtual Machines (VM), dynamic scaling is configured for each set
of availabilities.
If dynamic scaling using CPU is selected, a new slider can be seen. The range of this
slider defines the typical CPU usages for that specific role. About 60% to 80% of the CPU
target is recommended by default. This only means that the machines might run significantly
14
NETWORK INFRASTRUCTURE FOR APIC
hot (>80%) prior to scaling up, therefore if tighter metrics are required, both maximum and
minimum can be reduced.
Setting ranges that put the sliders further closer to the ends or towards each other is
not recommended. When the slider is dragged to the very end say 0% or 100%, no scaling
actions can be noticed. When these sliders are placed very close one another like 74% or
75%, a lot of scaling actions can be noticed.
It is assumed that of these two cloud solutions APIC has chosen AWS for its network
for meeting the respective requirements. The cloud service is constant for all of APIC’s
branches.
Conclusion
To conclude, the report successfully examines the geographical scope of the network
of Asia Pacific International College while also presenting a detailed logical design of the
network of the newly created branch at Sydney and talks about the virtualization
methodologies in cloud computing. After providing a graphical representation of the global
reach of the institute’s network, the Global Area Network (GAN) is described and then the
report talks about the backbone devices required to implement such a network as also the
segmentation of the network and then lists the uses and current implementations. Thereafter
the logical design for the Sydney branch of APIC is suggested with the three-layer
hierarchical network diagram following which the network requirements are discussed as
well as type of IP and the method of IP addressing before mentioned detailed subnet
calculation in a tabular format. The report then ends after talks about virtualization in cloud
computing where it suggests the two leading cloud service providers and discusses the
techniques of virtualization.
NETWORK INFRASTRUCTURE FOR APIC
hot (>80%) prior to scaling up, therefore if tighter metrics are required, both maximum and
minimum can be reduced.
Setting ranges that put the sliders further closer to the ends or towards each other is
not recommended. When the slider is dragged to the very end say 0% or 100%, no scaling
actions can be noticed. When these sliders are placed very close one another like 74% or
75%, a lot of scaling actions can be noticed.
It is assumed that of these two cloud solutions APIC has chosen AWS for its network
for meeting the respective requirements. The cloud service is constant for all of APIC’s
branches.
Conclusion
To conclude, the report successfully examines the geographical scope of the network
of Asia Pacific International College while also presenting a detailed logical design of the
network of the newly created branch at Sydney and talks about the virtualization
methodologies in cloud computing. After providing a graphical representation of the global
reach of the institute’s network, the Global Area Network (GAN) is described and then the
report talks about the backbone devices required to implement such a network as also the
segmentation of the network and then lists the uses and current implementations. Thereafter
the logical design for the Sydney branch of APIC is suggested with the three-layer
hierarchical network diagram following which the network requirements are discussed as
well as type of IP and the method of IP addressing before mentioned detailed subnet
calculation in a tabular format. The report then ends after talks about virtualization in cloud
computing where it suggests the two leading cloud service providers and discusses the
techniques of virtualization.
15
NETWORK INFRASTRUCTURE FOR APIC
References
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Baron, J. and Kotecha, S., 2013. Storage options in the aws cloud. Amazon Web Services,
Washington DC, Tech. Rep.
Bilal, K. and Erbad, A., 2017, April. Impact of multiple video representations in live
streaming: A cost, bandwidth, and QoE analysis. In 2017 IEEE International Conference on
Cloud Engineering (IC2E) (pp. 88-94). IEEE.
Darabont, Ö., Kiss, K.J. and Domokos, J., 2015. Performance analysis of remote desktop
virtualization based on Hyper-V versus remote desktop services. MACRo 2015, 1(1), pp.125-
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Di Minin, E. and Toivonen, T., 2015. Global protected area expansion: creating more than
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services. Future Generation Computer Systems, 29(4), pp.1012-1023.
Jeong, J., Seo, J., Cho, G., Kim, H. and Park, J.S., 2015, March. A framework for security
services based on software-defined networking. In 2015 IEEE 29th International Conference
on Advanced Information Networking and Applications Workshops (pp. 150-153). IEEE.
NETWORK INFRASTRUCTURE FOR APIC
References
Annette, J.R., Banu, W.A. and Chandran, P.S., 2015. Rendering-as-a-service: taxonomy and
comparison. Procedia Computer Science, 50, pp.276-281.
Baron, J. and Kotecha, S., 2013. Storage options in the aws cloud. Amazon Web Services,
Washington DC, Tech. Rep.
Bilal, K. and Erbad, A., 2017, April. Impact of multiple video representations in live
streaming: A cost, bandwidth, and QoE analysis. In 2017 IEEE International Conference on
Cloud Engineering (IC2E) (pp. 88-94). IEEE.
Darabont, Ö., Kiss, K.J. and Domokos, J., 2015. Performance analysis of remote desktop
virtualization based on Hyper-V versus remote desktop services. MACRo 2015, 1(1), pp.125-
134.
Di Minin, E. and Toivonen, T., 2015. Global protected area expansion: creating more than
paper parks. BioScience, 65(7), pp.637-638.
Docs.aws.amazon.com (2019). AWS Auto ScalingUser Guide. [online]
Docs.aws.amazon.com. Available at:
https://docs.aws.amazon.com/autoscaling/plans/userguide/as-plans-ug.pdf#how-it-works
[Accessed 10 Apr. 2019].
Garg, S.K., Versteeg, S. and Buyya, R., 2013. A framework for ranking of cloud computing
services. Future Generation Computer Systems, 29(4), pp.1012-1023.
Jeong, J., Seo, J., Cho, G., Kim, H. and Park, J.S., 2015, March. A framework for security
services based on software-defined networking. In 2015 IEEE 29th International Conference
on Advanced Information Networking and Applications Workshops (pp. 150-153). IEEE.
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16
NETWORK INFRASTRUCTURE FOR APIC
Karpathiotakis, M., Alagiannis, I., Heinis, T., Branco, M. and Ailamaki, A., 2015. Just-in-
time data virtualization: Lightweight data management with ViDa. In Proceedings of the 7th
Biennial Conference on Innovative Data Systems Research (CIDR) (No. CONF).
Korczyński, M., Król, M. and van Eeten, M., 2016, November. Zone poisoning: The how and
where of non-secure DNS dynamic updates. In Proceedings of the 2016 Internet
Measurement Conference (pp. 271-278). ACM.
Li, S.H., Yen, D.C., Chen, S.C., Chen, P.S., Lu, W.H. and Cho, C.C., 2015. Effects of
virtualization on information security. Computer standards & interfaces, 42, pp.1-8.
Liang, C. and Yu, F.R., 2015. Wireless network virtualization: A survey, some research
issues and challenges. IEEE Communications Surveys & Tutorials, 17(1), pp.358-380.
Mickulicz, N.D., Narasimhan, P. and Gandhi, R., 2013. To auto scale or not to auto scale.
In Proceedings of the 10th International Conference on Autonomic Computing ({ICAC}
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Obasuyi, G.C. and Sari, A., 2015. Security challenges of virtualization hypervisors in
virtualized hardware environment. International Journal of Communications, Network and
System Sciences, 8(07), p.260.
Ortiz, J., 2017, May. PerfEnforce Overview: A Dynamic Scaling Engine for Analytics with
Performance Guarantees. In Proceedings of the 2017 ACM International Conference on
Management of Data (pp. 31-33). ACM.
Peng, B., Zhang, H., Yao, J., Dong, Y., Xu, Y. and Guan, H., 2018. MDev-NVMe: a NVMe
storage virtualization solution with mediated pass-through. In 2018 {USENIX} Annual
Technical Conference ({USENIX}{ATC} 18) (pp. 665-676).
NETWORK INFRASTRUCTURE FOR APIC
Karpathiotakis, M., Alagiannis, I., Heinis, T., Branco, M. and Ailamaki, A., 2015. Just-in-
time data virtualization: Lightweight data management with ViDa. In Proceedings of the 7th
Biennial Conference on Innovative Data Systems Research (CIDR) (No. CONF).
Korczyński, M., Król, M. and van Eeten, M., 2016, November. Zone poisoning: The how and
where of non-secure DNS dynamic updates. In Proceedings of the 2016 Internet
Measurement Conference (pp. 271-278). ACM.
Li, S.H., Yen, D.C., Chen, S.C., Chen, P.S., Lu, W.H. and Cho, C.C., 2015. Effects of
virtualization on information security. Computer standards & interfaces, 42, pp.1-8.
Liang, C. and Yu, F.R., 2015. Wireless network virtualization: A survey, some research
issues and challenges. IEEE Communications Surveys & Tutorials, 17(1), pp.358-380.
Mickulicz, N.D., Narasimhan, P. and Gandhi, R., 2013. To auto scale or not to auto scale.
In Proceedings of the 10th International Conference on Autonomic Computing ({ICAC}
13) (pp. 145-151).
Obasuyi, G.C. and Sari, A., 2015. Security challenges of virtualization hypervisors in
virtualized hardware environment. International Journal of Communications, Network and
System Sciences, 8(07), p.260.
Ortiz, J., 2017, May. PerfEnforce Overview: A Dynamic Scaling Engine for Analytics with
Performance Guarantees. In Proceedings of the 2017 ACM International Conference on
Management of Data (pp. 31-33). ACM.
Peng, B., Zhang, H., Yao, J., Dong, Y., Xu, Y. and Guan, H., 2018. MDev-NVMe: a NVMe
storage virtualization solution with mediated pass-through. In 2018 {USENIX} Annual
Technical Conference ({USENIX}{ATC} 18) (pp. 665-676).
17
NETWORK INFRASTRUCTURE FOR APIC
Quach, T.N., Thaichon, P. and Jebarajakirthy, C., 2016. Internet service providers' service
quality and its effect on customer loyalty of different usage patterns. Journal of Retailing and
Consumer Services, 29, pp.104-113.
Ramos, F.M., Kreutz, D. and Verissimo, P., 2015. Software-defined networks: On the road to
the softwarization of networking. Cutter IT journal.
Singh, D.A.K., 2015. Internet Protocol (IP) Address–Subnetting and Supernetting. Int. J.
Emerg. Trends Technol. Comput. Sci, 4, pp.87-90.
Villamizar, M., Garcés, O., Ochoa, L., Castro, H., Salamanca, L., Verano, M., Casallas, R.,
Gil, S., Valencia, C., Zambrano, A. and Lang, M., 2017. Cost comparison of running web
applications in the cloud using monolithic, microservice, and AWS Lambda
architectures. Service Oriented Computing and Applications, 11(2), pp.233-247.
VODĂ, I., 2014. Migrating Existing PHP Web Applications to the Cloud. Informatica
Economica, 18(4).
Yang, H., He, Y., Zhang, J., Ji, Y., Bai, W. and Lee, Y., 2016. Performance evaluation of
multi-stratum resources optimization with network functions virtualization for cloud-based
radio over optical fiber networks. Optics express, 24(8), pp.8666-8678.
NETWORK INFRASTRUCTURE FOR APIC
Quach, T.N., Thaichon, P. and Jebarajakirthy, C., 2016. Internet service providers' service
quality and its effect on customer loyalty of different usage patterns. Journal of Retailing and
Consumer Services, 29, pp.104-113.
Ramos, F.M., Kreutz, D. and Verissimo, P., 2015. Software-defined networks: On the road to
the softwarization of networking. Cutter IT journal.
Singh, D.A.K., 2015. Internet Protocol (IP) Address–Subnetting and Supernetting. Int. J.
Emerg. Trends Technol. Comput. Sci, 4, pp.87-90.
Villamizar, M., Garcés, O., Ochoa, L., Castro, H., Salamanca, L., Verano, M., Casallas, R.,
Gil, S., Valencia, C., Zambrano, A. and Lang, M., 2017. Cost comparison of running web
applications in the cloud using monolithic, microservice, and AWS Lambda
architectures. Service Oriented Computing and Applications, 11(2), pp.233-247.
VODĂ, I., 2014. Migrating Existing PHP Web Applications to the Cloud. Informatica
Economica, 18(4).
Yang, H., He, Y., Zhang, J., Ji, Y., Bai, W. and Lee, Y., 2016. Performance evaluation of
multi-stratum resources optimization with network functions virtualization for cloud-based
radio over optical fiber networks. Optics express, 24(8), pp.8666-8678.
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