Open Access   Article Go Back

A Hybrid Heuristic Algorithm to Enhance Load balancing in Cloud Environment

V.R.T. Kanakala1 , K.P. Kumar2 , S. Kavitha3

Section:Research Paper, Product Type: Journal Paper
Volume-4 , Issue-11 , Page no. 129-132, Nov-2016

Online published on Nov 29, 2016

Copyright © V.R.T. Kanakala, K.P. Kumar, S. Kavitha . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

XML View
PDF Download

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: V.R.T. Kanakala, K.P. Kumar, S. Kavitha, “A Hybrid Heuristic Algorithm to Enhance Load balancing in Cloud Environment,” International Journal of Computer Sciences and Engineering, Vol.4, Issue.11, pp.129-132, 2016.

MLA Style Citation: V.R.T. Kanakala, K.P. Kumar, S. Kavitha "A Hybrid Heuristic Algorithm to Enhance Load balancing in Cloud Environment." International Journal of Computer Sciences and Engineering 4.11 (2016): 129-132.

APA Style Citation: V.R.T. Kanakala, K.P. Kumar, S. Kavitha, (2016). A Hybrid Heuristic Algorithm to Enhance Load balancing in Cloud Environment. International Journal of Computer Sciences and Engineering, 4(11), 129-132.

BibTex Style Citation:
@article{Kanakala_2016,
author = {V.R.T. Kanakala, K.P. Kumar, S. Kavitha},
title = {A Hybrid Heuristic Algorithm to Enhance Load balancing in Cloud Environment},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2016},
volume = {4},
Issue = {11},
month = {11},
year = {2016},
issn = {2347-2693},
pages = {129-132},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1120},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1120
TI - A Hybrid Heuristic Algorithm to Enhance Load balancing in Cloud Environment
T2 - International Journal of Computer Sciences and Engineering
AU - V.R.T. Kanakala, K.P. Kumar, S. Kavitha
PY - 2016
DA - 2016/11/29
PB - IJCSE, Indore, INDIA
SP - 129-132
IS - 11
VL - 4
SN - 2347-2693
ER -

VIEWS PDF XML
1508 1324 downloads 1358 downloads
  
  
           

Abstract

Cloud computing, an internet based technology which provides virtualized computer resources over the internet. Distribution of the dynamic workload among the computer resources in the cloud evenly in such a way that no single node is overloaded or under loaded is called Load Balancing. An efficient load balancer will increase the performance of cloud, maximizes the cloud services and also increases the resource utilization. Today increasing the performance of a cloud depends on many factors, among them Load Balancing is one of the main factors. In this paper we propose a load balancing algorithm which is a variant to the Weight Least Connection (WLC) algorithm. The proposed algorithm shows better results in several aspects like accurate calculation of work load on a resource, distributing the work load on the service nodes efficiently, enhancing the response time and minimizing the overall task execution time.

Key-Words / Index Term

Cloud computing, Virtualized computer resources, Dynamic workload, Load balancer, Load balancing algorithm, Least Connection (LC) algorithm, Power consumption

References

[1]. Xiaona Ren, Rongheng Lin,Hua Zou, �A Dynamic Load Balancing Strategy For Cloud Computing Platform Based On Exponential Smoothing Forecast�, IEEE ccis2011, pp-220-225, 2011.
[2]. Li-Hui Yang, Sheng-Sheng YuA, �Variable Weighted Least-Connection Algorithm For Multimedia Transmission�, Journal of Shanghai University, Volume 7, Issue 3, pp 256-260, 2003.
[3]. Shanti swaroop moharana, rajadeepan d. Ramesh, digamber powar, �Analysis Of Load Balancers In Cloud Computing�, International Journal of Computer Science and Engineering (IJCSE) ISSN 2278-9960 Vol. 2, Issue 2, May 2013.
[4]. E. Kartal Tabak, B. Barla Cambazoglu, Cevdet Aykanat, �Improving the Performance of Independent Task Assignment Heuristics MinMin, MaxMin and Sufferage�, IEEE Transactions On Parallel And Distributed Systems, VOL. 25, NO. 5, MAY 2014.
[5]. Ra�ul Alonso-Calvo, Jose Crespo, �On distributing load in cloud computing: A real application for very-large image datasets� Procedia Computer Science 1, Elsevier, 2669�2677, 2012.
[6]. Kousik Dasgupta, Brototi Mandal, Paramartha Dutta, Jyotsna Kumar Mondal, Santanu Dam, �A Genetic Algorithm (GA) based Load Balancing Strategy for Cloud Computing�, Procedia Technology 10, Elsevier, 340 � 347, 2013.
[7]. O.H. Ibarra and C.E. Kim, �Heuristic Algorithms for Scheduling Independent Tasks on Nonidentical Processors,� J. ACM, vol. 24, no. 2, pp. 280-289, 1977.
[8]. S. Parsa and R. Entezari-Maleki, �RASA - A New Grid Task Scheduling Algorithm,� Int�l J. Digital Content Technology and Its Applications, vol. 3, no. 4, pp. 91-99, 2009.