We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Reseach Article

CloudAnalyst : A Survey of Load Balancing Policies

by Sandip Patel, Ritesh Patel, Hetal Patel, Seema Vahora
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 117 - Number 21
Year of Publication: 2015
Authors: Sandip Patel, Ritesh Patel, Hetal Patel, Seema Vahora
10.5120/20679-3525

Sandip Patel, Ritesh Patel, Hetal Patel, Seema Vahora . CloudAnalyst : A Survey of Load Balancing Policies. International Journal of Computer Applications. 117, 21 ( May 2015), 21-24. DOI=10.5120/20679-3525

@article{ 10.5120/20679-3525,
author = { Sandip Patel, Ritesh Patel, Hetal Patel, Seema Vahora },
title = { CloudAnalyst : A Survey of Load Balancing Policies },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 117 },
number = { 21 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 21-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume117/number21/20679-3525/ },
doi = { 10.5120/20679-3525 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:00:01.597261+05:30
%A Sandip Patel
%A Ritesh Patel
%A Hetal Patel
%A Seema Vahora
%T CloudAnalyst : A Survey of Load Balancing Policies
%J International Journal of Computer Applications
%@ 0975-8887
%V 117
%N 21
%P 21-24
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud computing is one of the incredible technology which enable the new vision for IT industry. Nowadays, it has become a strong alternative for startup large as well as small scale organizations that only use the resources which actually required based on pay as per use. As Cloud Computing is growing continuously and clients from different parts of the world are demanding for the various services and better outcomes, the load balancing has become the challenge for the cloud provider. To accurately manage the available resources of the different cloud provider, resources have to be properly selected according to the properties of task. Many algorithms have been proposed to provide efficient mechanisms and assigning the client's requests to available cloud nodes and aim to enhance the overall performance of the cloud and provide more satisfaction to user and efficient services. Initially this paper gives an introduction to cloud computing and load balancing. A detailed survey on different load balancing policy in cloud analyst, their advantages and drawback with obtainable solution and learn how to add new policy or customize existing load balancing policy.

References
  1. Landis, Cary, and Dan Blacharski. Cloud Computing Made Easy. Lulu Enterprices Incorporated, 2010.
  2. Darji, Vinay, Jayna Shah, and Rutvik Mehta. "Dynamic Load Balancing For Cloud Computing Using Heuristic Data and Load on Server. " (IOSR-JCE) Volume 16, Issue 4, (Jul – Aug. 2014), PP 59-69.
  3. H. Mahalle, P. Kaveri, V. Chavan, "Load Balancing on Cloud Data Centers", international Journal of Advance Research in computer Science and Software Engineering, vol. 3, pages 11-15, Jan. 2013.
  4. Kaur, Jaswinder, and Supriya Kinger. "A Survey on Load Balancing Techniques in Cloud Computing. " IJSR 2012 Pages-2662-2665.
  5. Shah, MR Manan D. , MR Amit A. Kariyani, and MR Dipak L. Agrawal. "Allocation of Virtual Machines in Cloud Computing Using Load Balancing Algorithm. " (IJCSITS), ISSN (2013): 2249-9555.
  6. B. Wickremasinghe and R. N. Calheiros, "CloudAnalyst: a cloudsim-based visual modeller for analysing cloud computing environments and applications," 24th International Conference on Advanced Information Networking and Application, pp. 446-452, 2010.
  7. Domanal, S. G. , & Reddy, G. R. M. (2013, October). Load Balancing in Cloud Computing using Modified Throttled Algorithm. In Cloud Computing in Emerging Markets, 2013 IEEE International Conference on (pp. 1-5). IEEE.
  8. Nusrat Pasha, Dr. Amit Agrawal, Dr. Ravi Rastogi, "Round Robin Approach for VM Load Balancing Algorithm in Cloud Computing Environment", IJARCSSE, Volume 4, pages 34-39 Issue 5, May 2014.
  9. Qi Zhang, Lu Cheng, Raouf Boutaba. "Cloud computing: state-of-the-art and research challenges", J Internet ServAppl (2010) 1: 7–18, Springer
  10. Jianzhe Tai, JueminZhang,JunLi,Waleed Meleis and NingfangMi "A R A: Adaptive Resource Allocation for Cloud Computing Environments under Bursty Workloads" 978-1-4673-0012-4/11 ©2011 IEEE.
  11. Wei Zhao, Yong Peng, Feng Xie, Zhonghua Dai (2012). "Modeling and Simulation of Cloud Computing: A Review", IEEE Asia Pacific Cloud Computing Congress, pages 20-24, 2012.
  12. NIST Definition of Cloud Computing v15, csrc. nist. gov/groups/SNS/cloud-computing/cloud-def-v15. doc
  13. Domanal, Shridhar G. , and G. Ram Mohana Reddy. "Optimal load balancing in cloud computing by efficient utilization of virtual machines. " COMSNETS. 2014. 2014, Page(s): 1- 4
  14. Bhatia, J. , Patel, T. , Trivedi, H. , & Majmudar, V. (2012, December). HTV Dynamic Load Balancing Algorithm for Virtual Machine Instances in Cloud. InCloud and Services Computing (ISCOS), 2012 International Symposium on (pp. 15-20). IEEE.
  15. http://en. wikipedia. org/wiki/Load_balancing_%28computing%29
  16. Kaur, Rajwinder, and Pawan Luthra. "Load Balancing in Cloud Computing. "Proceedings of International Conference on Recent Trends in Information, Telecommunication and Computing, ITC. 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Cloud Analyst Virtual Machine Datacenter Load balancing policy.