The objective of the report is to explain the geographical scope of Asia Pacific International College or APIC’s network, and provide logical and physical designs for their new branch in Sydney while discussing about virtualization techniques for cloud services.
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Running head:APIC IT INFRASTRUCTURE APIC IT Infrastructure Name of the Student Name of the University Author Note
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1APIC IT INFRASTRUCTURE Summary The objective of the report is to explain the geographical scope of Asia Pacific International College or APIC’s network, and provide logical and physical designs for their new branch in Sydney while discussing about virtualization techniques for cloud services. After talking about the institute’s global reach, the backbone devices of the global network is discussed briefly along with segmentation of the network while listing their uses and role in exiting setup. Then the three layered logical diagram and physical design are provided and the requirements of the network are mentioned with the type and method of IP addressing used while also detailing subnet calculations in a tabular format. Thereafter the report talks on how cloud use make use of virtualization and proposes cloud services from two organizations. After explaining dynamic scaling functions of the two cloud services, report ends with observations in concluding notes.
2APIC IT INFRASTRUCTURE Table of Contents Introduction................................................................................................................................3 Discussion..................................................................................................................................3 Geographical scope................................................................................................................3 Devices of Global Network................................................................................................4 Network Segments.............................................................................................................5 Advantages and use cases..................................................................................................5 Logical Network Design........................................................................................................6 Physical Network Design.......................................................................................................7 Virtualization and Cloud Computing.....................................................................................8 Cloud based solutions........................................................................................................8 Cloud Virtualization Techniques.......................................................................................9 Dynamic Scaling in AWS (Auto Scaling).......................................................................10 Dynamic Scaling in Microsoft Azure..............................................................................11 Recommendations....................................................................................................................12 Conclusion................................................................................................................................13 References................................................................................................................................14
3APIC IT INFRASTRUCTURE Introduction This report explains the geographical scope of Asia Pacific International College or APIC’s network, and provide logical and physical designs for their new branch in Sydney while discussing about virtualization techniques for cloud services. After talking about the institute’s global reach, the backbone devices of the global network is discussed briefly along with segmentation of the network while listing their uses and role in exiting setup. Then the three layered logical diagram and physical design are provided and the requirements of the network are mentioned with the type and method of IP addressing used while also detailing subnet calculations in a tabular format. Thereafter the report talks on how cloud use make use of virtualization and proposes cloud services from two organizations and lists dynamic scaling functions of the two cloud services. The report begins by explaining scope and analysis of the network and after touching on cloud computing and dynamic scaling techniques, ends with observations in concluding notes.
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4APIC IT INFRASTRUCTURE Discussion Geographical scope Figure 1: Scope diagram The institute’s different branches exist in parts of US, Europe as well as in cities like Perth, Canberra, and Sydney of mainland Australia along with one in Tasmania as can be found from the diagram above. All the branches are connected with one another which includes the newly created branch at Sydney. To set up the wide global network of APIC, the Global Area Network (GAN) topology is used (Liu et al. 2017). Devicesof Global Network The global network of the college required extensive use of routers, different ypes of switches and firewall based devices as well as applications. Router:Forwarding of data packets across the different networks and sub networks is done by the routers by processing information contained in packets or datagrams in the network
5APIC IT INFRASTRUCTURE layer which is the third layer of OSI reference model (Chou, Baker and Vega-Herrera 2016). Devices used for distribution and access of network to servers and clients the branches are interconnected among them and with that of other branches using routers forming part of the internal network of the organization. Switch: These are devices used to distribute the network from router to the rest of the individual and peripheral devices of the branch (Kenawell et al. 2016). They are tasked with filtering and forwarding of datagrams to the ports as per respective MAC address present in the packets. Switches have a large number of ports that helps connect devices of networks with the star topology. Firewall:Firewalls can be used to significantly improve security and prevent malwares from compromisingtheindividualsystemsandothercomponentsofthenetwork(Bassey, Ogbulezie and Effiom 2016). The proactive threat protection feature present in most of the recentlyreleasedfirewallsavoidhijackingofthenetworkandexploitofsystem vulnerabilities by zero-day threats. Only corporate firewall solutions are advised which are available as both software applications and standalone devices. Network Segments Every branch network is broken into different subnets providing network access more efficiently. Sub-netting can have a range of benefits, these can be: ï‚·Performance boost via reduced congestion ï‚·Isolation of compromised subnets, to limit the impact on the network ï‚·Restricting of technical problems of the network to the particular network sections ï‚·Classification of network access and data communications within the same branch can be done using VLANs
6APIC IT INFRASTRUCTURE Network security is greatly improved through sub-netting for zoning of security risks can be done thereby limiting their spread across the network. This kind of segmentations are typically gained from SDNs (Software defined Networking), VLANs and firewalls. Advantages and use cases Global Area Network or GAN is a networking topology that helps networks cover a wide geographical area helping in centralizing of organizational data regarding multiple branches, ensuring regular updating of data files, applications for exchange of messages, software sharing, resources and applications, supporting global businesses, ensuring greater bandwidth, workload distribution as also reduced costs for travelling. Some use cases of Global Area Network are: ï‚·The Internet ï‚·Large banks ï‚·Global airline carriers ï‚·International exchange brokers ï‚·Telecom giants ï‚·Satellite based systems
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7APIC IT INFRASTRUCTURE Logical Network Design Figure 2: Logical Network diagram Logical design of the network from the above diagram is created based on a three- layer hierarchical model. Core, Distribution and Access are the three concerning layers. The branch building at Sydney comprises eight floors and every floor requires 115 IP addresses. The branch also hosts 4 servers for the purposes of networking, printer sharing and file sharing. The IP allocation is done using DNS and DHCP protocols (Lee, Kim and Jeong 2017). Internet is obtained by the router of the branch from any Internet service providers (ISP) and passes the network to devices with the help of switches (Douros et al. 2017). They include multi-layered switches and regular switches specific to a particular floor. WLAN or wireless local area network controllers ensure that the network is accessible to laptops from all floors of the building or parts of college campus. The generated information from this
8APIC IT INFRASTRUCTURE network is stored in cloud databases that are selected by the company so they can be accessed outside the range of the network. The Sydney branch needs the following umber of IPs - (115*8) = 920, hence highest CIDR value for the major network is chosen to be 22 which can allocate 1022 IP addresses. Thus, it is clear that class B IP addresses are required. Therefore IP chosen for major network of APIC’s Sydney branch: 172.16.121.0/22. Classless Inter-Domain Routing (CIDR) sometimes calledsupernetting,allows even greater flexibility in allocation of IPs resulting in further flexible addresses than the original classful IP addressing method(da Silva and Mota 2017). This way, the IP addresses available gets significantly increased, along with heavy use network address translation (NAT) that greatly boosts IPv4 usability. Physical Network Design Figure 2: Physical Network Diagram
9APIC IT INFRASTRUCTURE Virtualization and Cloud Computing Cloud based solutions Amazon and Microsoft are two appropriate cloud service providers identified for Asia Pacific International College. These organizations help in hosting purposes with their large array of web, email and database servers. The solutions offered by them are AWS from Amazon and Azure from Microsoft. Services provided by the comprehensive cloud solutions AWS and Azure have a lot in common performing at par for more or less every use case (Qaisi and Aljarah 2016). The requirements of businesses as well as business decisions may be the conditions by which companies finalize selecting one of the cloud service in place of the other. Be it storage, compute, networking or pricing the abilities of both these systems are analogous. Specific functionalities of Azure and AWS for public clouds are dynamic scaling, compliance, self- service and instant provisioning security. The software development kit of AWS when it comes to PHP v3 helps developers with coding to build effective and comprehensive applications utilizing Amazon DynamoDB, Amazon S3, Glacier amongst others, very similar to how such activities are performed with Azure (Verbitski et al. 2017). Key functionalities offered by cloud services can be many but most popular among them is storage. Amazon AWS may be the providing storage services for the longest time but Microsoft Azure are no pushovers providing services that are extremely reliable. This means, that the features like accessing REST API as well as server- side data security through encryption is available in both solutions (Villamizar et al. 2017). Azure makes use of Microsoft Blob storage API with their SQL database built around MS SQL Server (Philip and Bharadi 2016). Amazon AWS uses their own Simple Storage Service or Amazon S3 (Habermann et al. 2017). These are the reasons why both the organizations
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10APIC IT INFRASTRUCTURE can be chosen for the email and web hosting purposes of Asia Pacific International College and the two short listed solutions are Amazon AWS and Microsoft Azure. Cloud Virtualization Techniques The major methods of virtualizing in cloud services are network virtualization, desktop virtualizing, storage virtualizing and application virtualization. Network Virtualization:Through network virtualization available hardware and software resources of cloud networks are combined into one administrative entity (Dalton et al. 2018). Multiple virtual networks are operated with separate data plan. It is manageable by different parties and ensures confidentiality. It also provides ability to operate with load balancers and virtual private networks (VPN). Storage Virtualizing:It involves a cluster of servers which are controlled by virtual storage systems.The technique helps users pool storage spaces from multiple sources to a single simulated repository managed using a command console. Here the servers have very little informationonwherethedataisstored(Malik,Wani,andRashid2018).Software applications that enablestorage virtualization maintain smooth and consistent performance as well as comprehensivepackageof advancedfeaturesirrespectiveof the changesand differences in underlying equipment. DesktopVirtualizing:This allows the operating system of servers and client computers to be remotely stored in the data centres. Thus, allowing the users in accessing their desktops remotely from all locations (Shang et al. 2016). This can only be done in windows server hence users requiring other operating systems will be needing virtual machines. Application Virtualizations:This kind of virtualization involves remotely accessing of applications from a different server (Andreadis, Fourtounis and Bouzakis 2015). Here the
11APIC IT INFRASTRUCTURE concerned application can be run in an encapsulated form without depending upon operating systems. As a result, the application becomes runnable on different operating systems also. Dynamic Scalingin AWS (Auto Scaling) Through the scaling strategy AWS Auto Scaling knows how optimum utilization of resources can be done in the scaling plans (Liu, Buyya and Toosi 2018). Optimizations can be done for availability, cost as also with balance of availability and cost. Alternatively, a custom strategy can also be created according to the thresholds and metrics defined. One can set multiple set of strategies for every resource or type of resource. For all kinds of resources, auto scaling in AWS decides the specific metric that is mostly used in determining amount of resources being used at any given time. To optimize application performance with respect to the metric, appropriate scaling strategies need to be selected. Enabling predictive and dynamic scaling helps in getting the scaling strategy shared (Hwang et al. 2016). These scaling strategies are: Availability:Resources are scaled in and out by auto scaling automatically to maintain resource utilization at 40 percent. This is mostly useful when applications urgently or sporadically require scaling features. Availability and Costs:Resources are scaled out and back in by auto scaling, automatically to maintain utilization of resources at 50 percent. This helps maintain higher availability while also reducing the cost. Costs:Resources are scaled out and back in by auto scaling, automatically for maintaining utilization of resources at 70 percent. This generally becomes useful if costs have to be slashed when application is able to operate with shrunken buffer sizes despite unexpected changes are to occur.
12APIC IT INFRASTRUCTURE Dynamic Scalingin Microsoft Azure For the components of the service to use dynamic scaling, the following criteria are recommended: 1.The ability of components to scale horizontally (like duplication to form several instances) 2.The variance in load balance of components over a given time period. When the criteria mentioned above are met, the dynamic scaling features can be utilized, although the obtained advantages vary with respect to how dynamic the load remains through a given time. To enable dynamic loading, users need to enter the portal’s Scale section and enable the particular service (it is to be noted that there exists no API for performing this in programmable ways as of now). In cloud services configuration of dynamic scaling is done for each and every role. Specifically talking about Virtual Machines or VM, configuration of dynamic scaling is done for all sets of availabilities. If the CPU is selected for dynamic scaling, one new slider is found. Range of the new slider describes the CPU usage in general for the particular role. A target of (60 – 80)% of CPU use is advised by default. From this it can be inferred that machines may get exceedingly hot (>80%) moments before they are scaled up, this suggests that when metrics with narrower headroom are to be followed, the minimum as well as maximum is reducable. Ranges should not be set with sliders ever closer to either end or each other. If this slider is pushed to the any of the ends (0% or 100%), scaling actions will not be noticeable. When placed very close like 74% and 75%, immense scaling actions will be seen.
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13APIC IT INFRASTRUCTURE In Azure SQL databases, apart from CPU, memory and IOPS resources can also be scaled up or down (Morana 2017). A useful advantage of dynamic scaling in Azure against auto scaling is that apart from scaling based on established criteria, Azure allows dynamic scalability for manual scaling too devoid of downtimes. In the exceptional cases, when even the highest tiers of service with biggest compute size and optimizations in performance is unable to serve the workload successfully or cost effectively, additional options of scaling exist. These options are: ï‚·Read scale-out:In this available feature, a read-only copy of the data is provided where read-only queries like generating reports can be executed (versus Modern and Solutions 2017). This Read-only copy handles the read-only workloads without utilizing or having any affects on the resources on the primary database. ï‚·Database sharing:are the set of techniques which enable users in splitting of the data into multiple databases while also scaling them up or down independently. Recommendations ThereportexaminesthegeographicalscopeofthenetworkofAsiaPacific International College. It is identified that the global area networking or GAN topology is being used, hence it is recommended that the organization either makes use of sturdy shielded cables for interconnections among distant branches or make use of the internet however it should be noted that additional expense needs to be made on security if the latter option is chosen. The report also suggests the type of IP and the method of IP addressing which is classless inter domain routing (CIDR). presents detailedlogical and physicalnetwork diagrams for the newly created branch at Sydney. Since a lot of branches of the organization exists, it strongly suggested that APIC makes use of cloud services as proposed in the diagrams. Then the key virtualization methodologies in cloud computing for APIC is
14APIC IT INFRASTRUCTURE discussed and the recommended ones are application, desktop, storage and network. Amongst the cloud computing solutions, Amazon AWS and Microsoft Azure are recommended for email and web hosting purposes of APIC. 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 networkofthenewlycreatedbranchatSydneyandtalksaboutthevirtualization 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 thelogicaldesignfor theSydneybranchof APIC issuggestedwiththethree-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 the report ends after explaining dynamic scaling in AWS and Azure.
15APIC IT INFRASTRUCTURE References Andreadis, G., Fourtounis, G. and Bouzakis, K.D., 2015. Collaborative design in the era of cloud computing.Advances in Engineering Software,81, pp.66- Bassey, D.E., Ogbulezie, J.C. and Effiom, E.O., 2016. Local Area Network (LAN) Mock-up and the Prevention of Cybernetics Related Crimes in Nigermills Company using Firewall Security Device.International Journal of Scientific & Engineering Research,7(3), pp.1124- 1130. Chou,T.S.,Baker,S.andVega-Herrera,M.,2016,June.Acomparisonofnetwork simulation and emulation virtualization tools. InProc. ASEE Annu. Conf. Expo.(pp. 1-9). da Silva, R.B. and Mota, E.S., 2017. A survey on approaches to reduce BGP interdomain routing convergence delay on the Internet.IEEE Communications Surveys & Tutorials,19(4), pp.2949-2984. Dalton, M., Schultz, D., Adriaens, J., Arefin, A., Gupta, A., Fahs, B., Rubinstein, D., Zermeno, E.C., Rubow, E., Docauer, J.A. and Alpert, J., 2018. Andromeda: performance, isolation, and velocity at scale in cloud network virtualization. In15th {USENIX} Symposium on Networked Systems Design and Implementation ({NSDI} 18)(pp. 373-387). Douros, V.G., Elayoubi, S.E., Altman, E. and Hayel, Y., 2017. Caching games between content providers and internet service providers.Performance Evaluation,113, pp.13-25. Habermann, T., Gallagher, J., Jelenak, A., Potter, N., Lee, J. and Yang, K., 2017. Trade Study: Storing NASA HDF5/netCDF-4 Data in the Amazon Cloud and Retrieving Data Via Hyrax Server Data Server.
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16APIC IT INFRASTRUCTURE Hwang, K., Bai, X., Shi, Y., Li, M., Chen, W.G. and Wu, Y., 2016. Cloud performance modeling with benchmark evaluation of elastic scaling strategies.IEEE Transactions on Parallel and Distributed Systems,27(1), pp.130-143. Kenawell, B., Phelan, B., Sherbondy, K.D. and Narayanan, R., 2016.NETGEAR ProSAFE M4300 Series 10-GbE Switch Tutorial(No. ARL-TN-0803). Army Research Laboratory Adelphi United States. Lee, K., Kim, S. and Jeong, J.P., 2017, March. DNSNAv4: DNS name autoconfiguration for Internet-of-Things devices in IPv4 networks. In2017 31st International Conference on Advanced Information Networking and Applications Workshops (WAINA)(pp. 347-351). IEEE. Liu, B., Buyya, R. and Toosi, A.N., 2018, November. A Fuzzy-based Auto-scaler for Web Applications in Cloud Computing Environments. InInternational Conference on Service- Oriented Computing(pp. 797-811). Springer, Cham. Liu, W., Chen, P.Y., Cooper, H., Oh, M.H., Yeung, S. and Suzumura, T., 2017. Can GAN learn topological features of a graph?.arXiv preprint arXiv:1707.06197. Malik, M.I., Wani, S.H. and Rashid, A., 2018. CLOUD COMPUTING-TECHNOLOGIES. International Journal of Advanced Research in Computer Science,9(2), p.379. Morana, G., 2017. Self-Managing Distributed Systems and Globally Interoperable Network of Clouds. InMultidisciplinary Digital Publishing Institute Proceedings(Vol. 1, No. 3, p. 188). Philip, J. and Bharadi, V.A., 2016. Signature Verification SaaS Implementation on Microsoft Azure Cloud.Procedia Computer Science,79, pp.410-418.