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Reseach Article

A Load Balancing Analysis of Cloud Base Application with different Service Broker Policies

by Pradeep Singh Rawat, Priti Dimri, G.P. Saroha, Varun Barthwal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 135 - Number 10
Year of Publication: 2016
Authors: Pradeep Singh Rawat, Priti Dimri, G.P. Saroha, Varun Barthwal
10.5120/ijca2016908516

Pradeep Singh Rawat, Priti Dimri, G.P. Saroha, Varun Barthwal . A Load Balancing Analysis of Cloud Base Application with different Service Broker Policies. International Journal of Computer Applications. 135, 10 ( February 2016), 11-15. DOI=10.5120/ijca2016908516

@article{ 10.5120/ijca2016908516,
author = { Pradeep Singh Rawat, Priti Dimri, G.P. Saroha, Varun Barthwal },
title = { A Load Balancing Analysis of Cloud Base Application with different Service Broker Policies },
journal = { International Journal of Computer Applications },
issue_date = { February 2016 },
volume = { 135 },
number = { 10 },
month = { February },
year = { 2016 },
issn = { 0975-8887 },
pages = { 11-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume135/number10/24084-2016908516/ },
doi = { 10.5120/ijca2016908516 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:35:24.936688+05:30
%A Pradeep Singh Rawat
%A Priti Dimri
%A G.P. Saroha
%A Varun Barthwal
%T A Load Balancing Analysis of Cloud Base Application with different Service Broker Policies
%J International Journal of Computer Applications
%@ 0975-8887
%V 135
%N 10
%P 11-15
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Resource provisioning and resource optimization are the key issues in cloud computing. To balance the load in across virtual machine load balancing algorithms are classified into two categories i.e. static, dynamic. For homogeneous and stable environment we prefer static load balancing algorithms. For heterogeneous, dynamic environment we prefer dynamic load balancing algorithms. Load balancing may take place in the public, private or hybrid cloud. In this paper, we focus on a load balancing policy i.e. Closest data Center with different no of virtual machines. The evaluation metrics is the response time and data center processing time. Cloud Environment is simulated for the scenario of “Internet banking” of an international bank in simulation toolkit CloudAnalyst. Using these two evaluation metrics we identify that for real deployment of such customers application what should be a threshold value of key parameters which are supported by the Cluster of users across the Globe.

References
  1. Rajkuma Buyya, James Broberg and Andrzej Goscinski CLOUD COMPUTING Principles and Paradigms, Jhon Wiley & Sons, 2011.
  2. M. D. Dikaiakos, G. Pallis, D. Katsa, P. Mehra, and A. Vakali, “Cloud Computing: Distributed Internet Computing for IT and Scientific Research”, in Proc. of IEEE Journal of Internet Computing, Vol. 13, No. 5, pp. 10-13, 2009.
  3. A. Vouk, “Cloud computing- issues, research and implementations”, in Proc. of Information Technology Interfaces, pp. 31-40, 2008.
  4. Roderigo N. Calherios, Bhathiya Wickremasinghe “Cloud Analyst: A Cloud-Sim-Based Visual Modeler For Analyzing Cloud Computing Environments And Applications”. Proc of IEEE International Conference on Advance Information Networking and Applications, 2010.
  5. Yang Xu, Lei Wu, Liying Guo, Zheng Chen Lai Yang, Zhongzhi Shi, “An Intelligent Load Balancing Algorithm Towards Efficient Cloud Computing”, in Proc. of AI for Data Center Management And Cloud Computing: Papers, from the 2011 AAAI Workshop (WS-11-08), pp. 27–32, 2008.
  6. Brototi Mondal,Kousik Dasgupta and Paramartha Dutta, “Load Balancing in Cloud Computing using Stochastic Hill Climbing-A Soft Computing Approach”, in Proc. of C3IT-2012, Elsevier, Procedia Technology 4(2012), pp.783-789, 2012.
  7. Ratan Mishra and Anant Jaiswal, “Ant colony Optimization: A Solution of Load balancing in Cloud”,in International Journal of Web & Semantic Technology (IJWesT), Vol.3, No.2, pp. 33–50, 2012.
  8. Li Kun, Gaochao Xu, Guangyu Zhao, Yushuang Dong, Dan Wang (2011) ” Cloud Task scheduling based on Load Balancing Ant Colony Optimization ” Sixth Annual ChinaGrid Conference ,2011,PP 3-9.
  9. B.Wickremasinghe,R.N.CalheirosandR.Buyya,“Coudanalyst:Acloudsimbasedvisualmodellerforanalysingcloudcomputingenvironmentsandapplications”, in Proc. of Proceedings of the 24th International Conference on Advanced Information Networking and Applications (AINA 2010), Perth, Australia, pp.446-452, 2010.
  10. 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), Vol:41,No:1,ISSN:0038-0644,WileyPress, USA,pp:23-50,2011.
  11. Ko, Soon-Heum; Kim, Nayong; Kim, Joohyun; Thota, Abhinav; Jha, and Shantanu; (2010)"Efficient Runtime Environment for Coupled Multi-physics Simulations: Dynamic Resource Allocation and Load-Balancing" 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing (CCGrid), 17-20 May 2010, pp.349-358.
  12. Hiranwal Saroj, Dr. K.C. Roy, ”Adaptive Round Robin Scheduling Using Shortest Burst Approach Based On Smart Time Slice” International Journal Of Computer Science And Communication July-December 2011, Vol. 2, No. 2, Pp. 319-323.
  13. M. Armbrust, A. Fox, R. Griffith, A. Joseph, R. Katz, A.Konwinski, G. Lee, D. Patterson, A.Rabkin, I. Stoica, M. Zaharia (2009). Above the Clouds: A Berkeley View of Cloud computing.TechnicalReport No. UCB/EECS-2009-28, the University of California at Berkley, USA, Feb. 10, 2009.
  14. Brain Underdahl, Margaret Lewis and Tim meeting “Cloud computing clusters for dummies” Wiley Publication (2010), [Book].
  15. Kousik Dasgupta, Brototi Mandala, ParamarthaDuttac, Jyotsna Kumar Mondal, “International Conference on Computational Intelligence: Modeling Techniques and Applications (CIMA) 2013 A Genetic Algorithm (GA) based Load Balancing Strategy for Cloud Computing”, Procedia Technology 10 ( 2013 ) 340 – 347.
Index Terms

Computer Science
Information Sciences

Keywords

MIPS Cloudlet Clouds DVFS VM CPU