Call for Paper - November 2022 Edition
IJCA solicits original research papers for the November 2022 Edition. Last date of manuscript submission is October 20, 2022. Read More

Campus Wireless Network Classification for Enterprise Adoption: Perspectives and Dimensions for Large Scale Computing

Print
PDF
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
E.O. Nonum, P.O. Otasowie, K.C. Okafor
10.5120/ijca2016909953

Otasowie P O E.O. Nonum and K C Okafor. Campus Wireless Network Classification for Enterprise Adoption: Perspectives and Dimensions for Large Scale Computing. International Journal of Computer Applications 142(12):19-31, May 2016. BibTeX

@article{10.5120/ijca2016909953,
	author = {E.O. Nonum, P.O. Otasowie and K.C. Okafor},
	title = {Campus Wireless Network Classification for Enterprise Adoption: Perspectives and Dimensions for Large Scale Computing},
	journal = {International Journal of Computer Applications},
	issue_date = {May 2016},
	volume = {142},
	number = {12},
	month = {May},
	year = {2016},
	issn = {0975-8887},
	pages = {19-31},
	numpages = {13},
	url = {http://www.ijcaonline.org/archives/volume142/number12/24948-2016909953},
	doi = {10.5120/ijca2016909953},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Owing to large scale computing using the cloud, services can be provisioned with reliable QoS performance. Existing Campus Wireless Network Nigerian tertiary instutions have various challenges in terms of performance, ease of integration, and cost effectiveness. In this paper, a distinct classification of functional network models, their attributes and characteristics was highlighted. Research gaps were identified and a proposed autonomic web services architecture that manages both the performance of service users and the interconnection of WiMax-Wifi infrastructure into a service overlay network was discussed. This represents an intelligent Campus Wireless Network Architecture for services convergence. Low scale and medium scale computing networks were also discussed while outlining their issues. For the large scale computing network model, the advantages of the system include: easing of management tasks through the autonomic systems, ability to self-configure, self-optimizeze and self-heal. Efficient resource management, virtualization and WiMax connectivity interfaces are the core features. This research is still on-going but have developed a workable system for both service deployment and migration without overhauling the generic platforms in existing systems. In the long run, Nigerian instutions will benefit from the improved newtork resilience with improvement in overall performance.

References

  1. Udeze.C.C, Okafor K.C,H.C Inyiama, C. C. Okezie,“A Conceptual Design Model for High Performance Hotspot Network Infrastructure (GRID WLAN), (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 3, No. 1, 2012, Pp. 93-99
  2. S. Vasudevan, K. Papagiannaki, C. Diot, J. Kurose and D. Towsley, Facilitating Access Point Selection in IEEE 802.11 Wireless Netwoxrks, USENIX Association Internet Measurement Conference 2005.
  3. Shaik Saidhbi, “A Cloud Computing Framework for Ethiopian Higher Education Institutions, “IOSR Journal of Computer Engineering (IOSRJCE)”, Volume 6, Issue 6 (Nov. - Dec. 2012), PP 01-09.
  4. Ji-Seong Jeong, Mihye Kim and Kwan-Hee Yoo, “ A Content Oriented Smart Education System based on Cloud Computing”, International Journal of Multimedia and Ubiquitous Engineering Vol.8, No.6 (2013), pp.313-328 http://dx.doi.org/10.14257/ijmue.2013.8.6.31.
  5. M. A. H. Masud and X. Huang, “An E-learning System Architecture based on Cloud Computing”, World Academy of Science, Engineering and Technology, vol. 62, (2012), pp. 74-78.
  6. N. Sultan, “Cloud computing for education: “A new dawn”, International Journal of Information Management, vol. 30, (2010), pp. 109-116.
  7. P. Pocatilu, F. Alecu and M. Vetrici, “Using Cloud Computing for E-learning Systems”, Proceedings of the 8th WSEAS international conference on Data networks, communications, computers, (2009) November 07-09, pp. 54-59, Baltimore, MD, USA.
  8. U. J. Bora and M. Ahmed, “E-Learning using Cloud Computing”, International Journal of Science and Mod-ern Engineering, vol. 1, no. 2, (2013), pp. 9-12.
  9. M. Al-Zoube, S. A. El-Seoud and M. F. Wyne, “Cloud Computing Based E-Learning System”, International Journal of Distance Education Technologies, vol. 8, no. 2, (2010), pp. 58-71.
  10. Whitepaper-Cabling Installation and maintenance. Of wireless, June 2006 edition of Cabling Installation, PennWell Corporation.
  11. Sourangsu Banerji, Rahul Singha Chowdhury, “ On IEEE 802.11: Wireless LAN Technology”, International Journal of Mobile Network Communications & Telematics (IJMNCT) Vol. 3, Issue. 4, 2013. [DOI: 10.5121/ijmnct.2013.3405]
  12. Dilip Antony Joseph, B. S. Manoj, C. Siva Ram Murthyy, “Interoperability of WiFi Hotspots and Cellular Networks”, WMASH’04, October 1, 2004, Philadelphia, Pennsylvania, USA.Pp.127-136.
  13. V. Sekar, B. S. Manoj, and C. Siva Ram Murthy, \Routing for a Single Interface MCN Architectureand Pricing Schemes for Data Traffic in Multihop Cellular Networks" in Proc. IEEE ICC 2003, Pp. 969-973, May 2003.
  14. Y. D. Lin and Y. C. Hsu, \Multihop Cellular: A New Architecture for Wireless Communications," in Proc. IEEE INFOCOM 2000, pp. 1273-1282, March 2000.
  15. Udeze C.C, Okafor K.C, H. C Inyiama, C.C.Okezie, “A Conceptual Design Model for High Performance Hotspot Network Infrastructure (GRID WLAN) International Journal of Advanced Computer Science and Applications, (IJACSA) Vol. 3, No. 1, 2012”, Pp. 93-99.
  16. N. Sulaiman and C.Y.Yaakub,” Investigation on QoS of Campus-Wide Wifi Networks”, Journal of Telecommunications, Volume 2, Issue 1, February 2010, Pp.12-16.
  17. Ugwoke F.N, K.C Okafor, I.M.Onwusuru & Udeze C.C, H.C Inyiama,“Characterization of Hotspot Coverage Plan in 2.4/ 5Ghz Frequency Band (Nnamdi Azikiwe University, Nigeria, As a Case Study)”, Computing, Information Systems, Development Informatics & Allied Research Journal, Vol. 5 No. 1. March, 2014.Pp.77-94.
  18. A.M.Saliu, M.I. Kolo, M.K. Muhammad, L.A. Nafiu, “Internet Authentication and Billing (Hotspot) System Using Mikrotik Router Operating System”, International Journal of Wireless Communications and Mobile Computing 2013; 1(1): 51-57.
  19. W.Asif, M.B. Qasim, S.M. R.Tirmzi, U.M.Khan, “Performance Evaluation of WiMAX (802.16) Using Different Encoding Schemes”, (IJCSIS) International Journal of Computer Science and Information Security, Vol. 6, No. 2, 2009.pp.332-336.
  20. M.Azizul Hasan, “Performance Evaluation of WiMAX/IEEE 802.16 OFDM Physical Layer, M.SC thesis submitted to Helsinki University of Technology, Department of Electrical and Communications Engineering Communications Laboratory in June 2007
  21. A. Ebian, M. Shokair, and K. H. Awadalla, “Performance Evaluation of Wimax System Using Convolutional Product Code (CPC)”, Progress In Electromagnetics Research C, Vol. 5, 125–133, 2008
  22. VineetaJ. K. Thathagar, V. K. Patel, A. R. Charania, “Performance Evaluation of WiMAX System OFDM Physical Layer for Flat-Fading and Multipath-Fading Channel Environments In International Journal of Engineering Research and Applications (IJERA) Vol. 2, Issue 3, May-Jun 2012, Pp.1426-1432
  23. Anuradha.R.kondelwar, K.D.Kulat, “BER Analysis of Proposed Wimax System in different Channel Environments”, International Journal of Emerging Technology and Advanced Engineering Website: Volume 2, Issue 9, Sept. 2012, Pp. 28- 38.
  24. Mohammad Shahajahan and A. Q. M. Abdulla Hes-Shafi Analysis of Propagation Models for WiMAX at 3.5 GHz, M.SC thesis at Blekinge Institute of Technology September 2009
  25. M.Sreerama Murty,D.Veeraiah, A.Srinivas Rao, “Performance Evaluation of Wi-Fi comparison with WiMAX Networks”, In International Journal of Distributed and Parallel Systems (IJDPS) Vol.3, No.1, January 2012 DOI : 10.5121/ijdps.2012.3127 Pp.321-329.
  26. Garima Malik, Ajit Singh, “Performance Evaluation of WiFi and WiMax Using OPNET”, International Journal of Advanced Research in Computer Science and Software Engineering”, Volume 3, Issue 6, June 2013.Pp.572-579
  27. Whitepaper on WiMAX and WiFi Together: Deployment Models and User Scenarios Co-authored by Motorola and Intel
  28. Sumant Ku Mohapatra, Ramya Ranjan Choudhury, Pravanjan Das, “The Future Directions in Evolving Wi-Fi: Technologies, Applications and Services”, International Journal of Next-Generation Networks (IJNGN) Vol.6, No.3, September 2014 DOI : 10.5121/ijngn.2014.6302 Pp.13-22
  29. Twenty experts define cloud computing. http://cloudcomputing.sys-con.com/ read/612375_p.htm (18.07.08).
  30. G.F. Pfister, In Search of Clusters, 2nd ed., Prentice Hall, Upper Saddle River, USA, 1998.
  31. in: R. Buyya (Ed.), High Performance Cluster Computing: Architectures and Systems, vol. 1, Prentice Hall, Upper Saddle River, USA, 1999.
  32. R.Buyya, C.S.Yeo, S. Venugopal, J.Broberg, I.Brandic, “Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility”, Future Generation Computer Systems 25 (2009) 599_616, www.elsevier.com/locate/fgcs.
  33. ] K.C. Okafor, G.N.Ezeh, I.E.Achumba,O.U.Oparaku, U.Diala, “DCCN: A Non-Recursively Built Data Center Architecture for Enterprise Energy Tracking Analytic Cloud Portal, (EEATCP), In AASCIT Computational and Applied Mathematics Journal, 2015, USA. Pp.107-121. Indexed.
  34. T.Ghafarian, H.Deldari, B.Javadi, M.H. Yaghmaeea, R.Buyya, “CycloidGrid: A proximity-aware P2P-based resource discovery architecture in volunteer computing systems”, Future Generation Computer Systems 29 (2013) 1583–1595. Available at SciVerse ScienceDirect.
  35. C. Vecchiola, X. Chu, R. Buyya, “Aneka: a software platform for .NET-based Cloud computing,” in High Performance & Large Scale Computing, Advances in Parallel Computing, W. Gentzsch, L. Grandinetti, G. Joubert Eds., IOS Press, 2009.
  36. C. E. Catlett, “TeraGrid: A Foundation for US Cyberinfrastructure,” in Network and Parallel Computing, LCNS.Vol. 3779, H. Jin, D. Reed, and W. Jiang Eds., Springer Berlin / Heidelberg, 2005.
  37. F. Gagliardi, M.E. Begin, “EGEE - Providing a Production Quality Grid for e-science,” Local to Global Data Interoperability - Challenges and Technologies, Sardinia, Italy, June, 2005

Keywords

Campus, Wide area Network, Wifi, Access Point, Throughput, Latency, Enterprise servers

Learn about the IJCA article correction policy and process
Dealing with any form of infringement.
‘Peer Review – A Critical Inquiry’ by David Shatz
Directly place requests for print/ hard copies of IJCA via Google Docs