ISSN: 2375-3943
American Journal of Computation, Communication and Control  
Manuscript Information
 
 
Gateway Load Balancing Service in Cloud Data Centre Environments Using Throughput Metric Index
American Journal of Computation, Communication and Control
Vol.1 , No. 1, Publication Date: Jul. 7, 2014, Page: 8-17
2032 Views Since July 7, 2014, 1084 Downloads Since Apr. 14, 2015
 
 
Authors
 
[1]    

K. C Okafor , Department of Electronic Engineering, University of Nigeria, Nsukka, UNN, Nigeria.

[2]    

Ugwoke, F. N , Department of Computer Science, Michael Opara University of Agriculture, Umudike, Nigeria.

[3]    

Udeze, C. C , Department of Electronics and Computer Engineering, Unizik, Awka, Nigeria.

[4]    

Okezie, C. C , Department of Electronics and Computer Engineering, Unizik, Awka, Nigeria.

[5]    

O. U Oparaku , Department of Electronic Engineering, University of Nigeria, Nsukka, UNN, Nigeria.

 
Abstract
 

In cloud data centre designs, as a result of high density traffic transactions, introducing a gateway load balancer (GLB) to improve server performance considering the demand of clients, will greatly offer robust fault tolerance, while enhancing performance at large. This paper developed, and analysed the performance of a core layer network simulation which hosts a typical http web service while outlining the advantages of load balancing service. This reflects in the throughput response of a two case scenario: Cloud DCN failure recovery and Cloud DCN No_ failure recovery in a carefully design cloud datacenter setup. From the results of this study, it was observed that the former yielded 99% throughput index while the later offered 97% throughput index. The 3% differential accounts for occasional server downtimes. Consequently, this paper argues that in a data intensive network, any load balancing service will allow load sharing of traffic from access layer endpoints within a common subnet through redundant default gateways, while also providing failure protection. This will offer an additional improvement in a proposed Enterprise Energy Tracking Analytics Cloud Portal (EETACP) in our future work.


Keywords
 

Cloud, Datacenter, Throughput, Web, Service, Load, Access Layer, Simulation


Reference
 
[01]    

Crowe Horwath LLP , Warren Chan , Eugene Leung, Heidi Pili, “Enterprise Risk management For Cloud Computing ”, The Committee of Sponsoring Organizations of the Treadway Commission (COSO), July, 2012.

[02]    

Jinjing and Raj Jain, “Analysis of Backward Congestion Notification (BCN) for Etherent In Datacenter Applications,” In Proc. IEEE INFOCOM, 2007.

[03]    

Rajkumar Buyya, Anton Beloglazov, and Jemal Abawajy, “ Energy-Efficient Management of Data Center Resources for Cloud Computing: A Vision, Architectural Elements, and Open Challenges”,

[04]    

Chuanxiong Guo, Haitao Wu, Kun Tan, Lei Shi, Yongguang Zhang, Songwu Lu, “DCell: A Scalable and Fault-Tolerant Network Structure for Data Centers”, SIGCOMM’08, August 17–22, 2008, Seattle, Washington, USA.

[05]    

Haitao Wu, Guohan Lu, Dan Li, Chuanxiong Guo, Yongguang Zhang, “MDCube: A High Performance Network Structure for Modular Data Center Interconnection”, CoNEXT’09, December 1–4, 2009, Rome, Italy.

[06]    

Feng Huang, Xicheng Lu, Dongsheng Li and Yiming Zhang, “ A Fault-tolerant Network Architecture for Modular Datacenter”, International Journal of Software Engineering and Its Applications Vol. 6, No. 2, April, 2012, Pp 93-106 .

[07]    

Dan Li, Chuanxiong Guo, Haitao Wu, Kun Tan,Yongguang Zhang, Songwu L, “FiConn: Using Backup Port for Server Interconnection in Data Centers”.

[08]    

Yong Liao, Jiangtao Yin, Dong Yin, Lixin Gao, “DPillar: Dual-port server interconnection network for large scale data centers, Elsevier Computer Networks 56 (2012), Pp.2132–2147, 2012 ,doi:10.1016/j.comnet.2012.02.016

[09]    

M. Armbrust et. al. Above the Clouds: A Berkeley View of Cloud Computing. Technical Report No. UCB/EECS-2009-28, University of California at Berkley, USA, Feb. 10, 2009.

[10]    

L. Barroso, J. Dean, and U. HÄolzle. Web Search for a Planet: The Google Cluster Architecture. IEEE Micro, March-April 2003.

[11]    

S. Ghemawat, H. Gobio®, and S. Leung. The Google File System. In ACM SOSP'03, 2003.

[12]    

Todd lammle, “ Cisco Certified Associate Network Guide”, Sixth Edition, Wiley Publishing, Inc., Indianapolis, Indiana, 2007.

[13]    

Udeze C.C, Okafor Kennedy.C., Ugwoke F. N, U.M.Ijeoma, “An Evaluation of Legacy 3-Tier DataCenter Networks for Enterprise Computing Using Mathematical Induction Algorithm”, Computing, Information Systems, Development Informatics & Allied Research Vol. 4 No. 4 December, 2013.Pp1-10.

[14]    

Udeze Chidiebele.C, “Re-Engineering DataCenter Networks for Efficient Web Application Integration in Enterprise Organisations”, PhD thesis, Unizik, February, 2013.





 
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