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Comparison of Dynamic Load Balancing Policies in Data Centers
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 104 - Number 17 |
| Year of Publication: 2014 |
| Authors: Sunil Kumar, Manish Kumar Pandey |
10.5120/18298-8324
|
Sunil Kumar, Manish Kumar Pandey . Comparison of Dynamic Load Balancing Policies in Data Centers. International Journal of Computer Applications. 104, 17 ( October 2014), 9-13. DOI=10.5120/18298-8324
Abstract
Cloud computing is an emerging advanced technology which provides the computing facilities through the Internet to end users by supplying an on demand basis as per usage like water, electricity etc. This could be considered as 5th utility of human need in this new cloud era. Earlier computing technique facilities were developed by the developer at the organization and purchased by users and deployed as per the compatibility of applications in available infrastructure which usually is not sufficient, e. g. it was not able to handle the demand at peak traffic period. Again, servers were not fully utilized as peak traffic only happens in some period of time. All big organizations are paying their attention to utilize their server/infrastructures capability through cloud implementation. This technology can sort out the problem at both levels, i. e. at service provider level as well as at user level by facilitating more infrastructures and less infrastructure respectively by providing the cloud-service-provider (CSP) on pay-as-you-go (PAYG) model. Next problem is cost as per requirement of Virtual Machines (VMs) on Data Center and the response time. This paper investigates the optimized synchronization between DCs (Data Centers) and UBs (User Bases) for enhancing the application performance and response time for the same cost to the vendors and end users by using a tool called CloudAnalyst. The reliability of cloud computing is maintained through load balancing of VMs on a Data Center. Load balancing technique improves the performance of VMs, reduces overall response time, processing time and cost of VMs. In this paper a comparative study was performed among available service broker policies (Closest Data Center, Optimize Response Time and Reconfigure Dynamically with Load) and available load balancing algorithms (Round Robin, Equally Spread Current Execution Load, Throttled etc. ). The objective of this study is to analyze how these policies help to coordinate between Data Centers to optimize the applications performance and the cost to the user.
References
- L. Kleinrock, A Vision For The Internet St Journal Of Research, Nov, 2005, (1), Pg4-5.
- http://www. livinginternet. com/w/wi_online. htm.
- R. Buyya, C. Yeo, S. Venugopal, J. Broberg, I. Brandic, Cloud computing and emerging it platforms: Vision, hype, and reality for delivering computing as the 5th utility, in: Future Generation Computer Systems, vo1. 25, 2009, pp. 599–616.
- Jane Anderson, Assessing Cloud Computing Challenges and Opportunities for Network Providers, strategic white paper, May 2008.
- Frank Gens, IT Cloud Services Forecast – 2008, 2012: A Key Driver of New Growth on October 8th, 2008.
- Frank Gens, Enterprise IT in the Cloud Computing Era New IT Models for Business Growth & Innovation, IDC, 2008.
- R. R. Buyya, R. Ranjan, Intercloud: Utility-oriented federation of cloud computing environments for scaling of application services, in: ICA3PP 2010, Part I, LNCS 6081, 2010, pp. 13–31.
- Kapil Bakshi, Cisco Cloud Computing -Data Center Strategy, Architecture, and Solutions , Point of View White Paper for U. S. Public Sector 1st Edition 2009 Cisco Systems, Inc.
- Peter Mell, Timothy Grance, The NIST Definition of Cloud Computing, NIST Special Publication, 800- 145, September 2011.
- R. N. Calheiros, R. Ranjan, A. Beloglazov, C. Rose, R. Buyya, Cloudsim: A toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms, in: Software: Practice and Experience (SPE), Volume 41, Number 1, ISSN: 0038-0644, Wiley Press, New York, USA. , 2011, pp. 23–50.
- Anthony Sulistio, Uros Cibej, Srikumar Venugopal,Borut Robic and Rajkumar Buyya, A toolkit for modelling and simulating Data Grids: An extension to GridSim, Concurrency And Computation: Practice And Experience, 0123; 34:1, Version: 2002/09/19 v2. 02.
- B. Wickremasinghe, R. N. Calheiros, R. Buyya, Cloudanalyst: A cloudsim-based visual modeller for analysing cloud computing environments and applications, in: Proceedings of the 24th International Conference on Advanced Information Networking and Applications (AINA 2010), Perth, Australia, 2010.
- Bhathiya Wickremasinghe, "CloudAnalyst: A CloudSim-based Tool for Modelling and Analysis of Large Scale Cloud Computing Environments" MEDC Project Report, 2009, 44 p.
- Brototi Mondal, Kousik Dasgupta, Paramartha Dutta, Load Balancing in Cloud Computing using Stochastic Hill Climbing-A Soft Computing Approach. Procedia Technology, vol. 4, pp. 783-789, 2012.
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