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 December 2024
Reseach Article

Energy Efficient Dynamic Load Balancing Algorithm for Cloud Environment

by Akbarali Kharodia, Rutvik Mehta, Miren Karmta, M.b.potdar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Number 4
Year of Publication: 2015
Authors: Akbarali Kharodia, Rutvik Mehta, Miren Karmta, M.b.potdar
10.5120/21218-3934

Akbarali Kharodia, Rutvik Mehta, Miren Karmta, M.b.potdar . Energy Efficient Dynamic Load Balancing Algorithm for Cloud Environment. International Journal of Computer Applications. 120, 4 ( June 2015), 30-33. DOI=10.5120/21218-3934

@article{ 10.5120/21218-3934,
author = { Akbarali Kharodia, Rutvik Mehta, Miren Karmta, M.b.potdar },
title = { Energy Efficient Dynamic Load Balancing Algorithm for Cloud Environment },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 120 },
number = { 4 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 30-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number4/21218-3934/ },
doi = { 10.5120/21218-3934 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:05:23.628226+05:30
%A Akbarali Kharodia
%A Rutvik Mehta
%A Miren Karmta
%A M.b.potdar
%T Energy Efficient Dynamic Load Balancing Algorithm for Cloud Environment
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 4
%P 30-33
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud computing provides information technology resources and services on demand using the internet. It different types of services like IAAS (infrastructure as a service), PAAS (platform as a service) and SAAS(software as a service). Scenario of cloud computing refers to the two entities mainly cloud service provider and cloud service user. Cloud service provider provides the cloud resources and services to the cloud service user. Cloud service provider must have to use its resources efficiently to gain profit, but challenging task for them is maximum optimization of cloud resources. This paper describes approach which deals with saving of energy by optimally utilizing hosts and by minimizing active host using migration techniques.

References
  1. Cloud computing bible, 2011. By - Barrie sosinsky, publisher – Wiley
  2. Cloud Application Architectures: Building Applications and Infrastructure in the Cloud, 2009. By- George Reese, publisher - O'Reilly Media
  3. Amazon Elastic Compute Cloud (Amazon EC2) http://aws. amazon. com/ec2/
  4. Martin Randles, A. Taleb-Bendiab and David Lamb, Cross Layer Dynamics in Self-Organizing Service Oriented Architectures. IWSOS, Lecture Notes in Computer Science, 5343, pp. 293-298, Springer, 2008.
  5. S. Nakrani and C. Tovey, On Honey Bees and Dynamic Server Allocation in Internet Hosting Centers. Adaptive Behavior 12, pp: 223-240 (2004).
  6. O. Abu- Rahmeh, P. Johnson and A. Taleb-Bendiab, A Dynamic Biased Random Sampling Scheme for Scalable and Reliable Grid Networks, INFOCOMP - Journal of Computer Science, ISSN 1807-4545, 2008, VOL. 7, N. 4, December, 2008, pp. 01-10.
  7. F. Saffre, R. Tateson, J. Halloy, M. Shackleton and J. L. Deneubourg, Aggregation Dynamics in Overlay Networks and Their Implications for Self-Organized Distributed Applications. The Computer Journal, March 31st, 2008.
  8. Martin randles, David lamb and taleb-bendiab, A comparative study into distributed load balancing algorithms for cloud computing, 2009 Second International Conference on Developments in E-Systems Engineering
  9. Yi Zhao, Wenlong Huang, "Adaptive Distributed Load Balancing Algorithm based on Live Migration of Virtual Machines in Cloud" Fifth International Joint Conference on INC, IMS and IDC, IEEE, 2009, pp: 6/09.
  10. Yatendra sahu, R. K. Pateriya, Rajeev kumar gupta, Cloud Server Optimization with Load Balancing and Green Computing Techniques Using Dynamic Compare and Balance Algorithm, 2013 5th International Conference on Computational Intelligence and Communication Networks
  11. E. Di Nitto, D. J. Dubois, R. Mirandola, F. Saffre and R. Tateson, Applying Self-Aggregation to Load Balancing: Experimental Results. In Proceedings of the 3rd international Conference on Bio-inspired Models of Network, information and Computing Systems (Bionetics 2008), Article 14, 25 – 28 November, 2008.
  12. Repast Organization for Architecture and Development, http://repast. sourceforge. net
  13. A detailed analysis of distributed load balancing algorithm, Akbarali Kharodia,Rutvik Mehta,Miren Karamta,Dr. M. B. Potdar, International Journal of Scientific & Engineering Research, Volume 5, Issue 12, December-2014
Index Terms

Computer Science
Information Sciences

Keywords

Cloud computing load balancing distributed solution