CFP last date
01 April 2024
Reseach Article

QOS Differentiation of Various Cloud Computing Load Balancing Techniques

by Abhinav Hans, Navdeep Singh, Kapil Kumar, Mohit Birdi
Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 5
Year of Publication: 2015
Authors: Abhinav Hans, Navdeep Singh, Kapil Kumar, Mohit Birdi
10.5120/cae-1544

Abhinav Hans, Navdeep Singh, Kapil Kumar, Mohit Birdi . QOS Differentiation of Various Cloud Computing Load Balancing Techniques. Communications on Applied Electronics. 1, 5 ( April 2015), 14-18. DOI=10.5120/cae-1544

@article{ 10.5120/cae-1544,
author = { Abhinav Hans, Navdeep Singh, Kapil Kumar, Mohit Birdi },
title = { QOS Differentiation of Various Cloud Computing Load Balancing Techniques },
journal = { Communications on Applied Electronics },
issue_date = { April 2015 },
volume = { 1 },
number = { 5 },
month = { April },
year = { 2015 },
issn = { 2394-4714 },
pages = { 14-18 },
numpages = {9},
url = { https://www.caeaccess.org/archives/volume1/number5/329-1544/ },
doi = { 10.5120/cae-1544 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-09-04T18:37:37.965449+05:30
%A Abhinav Hans
%A Navdeep Singh
%A Kapil Kumar
%A Mohit Birdi
%T QOS Differentiation of Various Cloud Computing Load Balancing Techniques
%J Communications on Applied Electronics
%@ 2394-4714
%V 1
%N 5
%P 14-18
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With an increase in the demands the Cloud computing has become one of the ongoing scalable approach to fulfill the cloud based neccesties. The biggest advantage of the cloud computing is the ability to overcome the infrastructural challenges those are earlier faced by other technologies. Since the technology is new, therefore the development of the whole structure is not so efficient. It does have a lot of issues on which various scientists and others are working on. Scheduling, load balancing, fault tolerance, etc. are various challenges faced by cloud computing. For this purpose various techniques and algorithms have been proposed. In this paper discussion will be done on the issue of load balancing in cloud computing and different types of load balancing techniques have been reviewed and a comparative analysis have been made among all the existing techniques.

References
  1. Gaochao xu, junjie pang, and xiaodong fu" A load balancing model based on cloud partitioning for the public cloud" ieee transactions on cloud computing year 2013.
  2. Zenon chaczko,venkatesh mahadevan,shahrzad aslanzadeh and christopher mcdermid" availability and load balancing in cloud computing" 2011 international conference on computer and software modeling.
  3. Soumya ray and ajanta de sarkar" execution analysis of load balancing algorithms in cloud computing environment" international journal on cloud computing: services and architecture.
  4. Ranjan kumar and G sahoo" load balancing using ant colony in cloud computing" international journal of information technology convergence and services (ijitcs).
  5. Nidhi jain kansal* and inderveer chana" existing load balancing techniques in cloud computing: a systematic re-view" journal of information systems and communication.
  6. Zenon chaczko, venkatesh mahadevan 2, shahrzad aslanzadeh and christopher mcdermid" availability and load balancing in cloud computing" 2011 international conference on computer and software modeling.
  7. Kousik dasguptaa, brototi mandalb, paramartha duttac, jyotsna kumar mondald,santanu dame "a genetic algorithm (ga) based load balancing
  8. strategy for cloud computing" international conference on computational intelligence: modeling techniques and applications (cimta) 2013.
  9. Yi lua, qiaomin xiea, gabriel kliotb, alan gellerb, james r. Larusb, albert greenbergc" join-idle-queue: a novel load balancing algorithm for dynamically scalable web services" ieee conference on foundations of computer science.
  10. Ram prasad padhy, p goutam prasad rao "load balancing in cloud computing systems" thesis from national institute of technology, rourkela-769 008, orissa, india may, 2011.
  11. Poonam devi mr. Trilok gaba"implementation of cloud computing by using short job scheduling" international journal of advanced research in computer science and software engineering.
  12. Brototi Mondala, kousik dasguptaa, paramartha duttab"load balancing in cloud computing using stochastic hill climbing-a soft computing approach"science direct.
  13. Dr. Amit agarwal, saloni jain" efficient optimal algorithm of task scheduling in cloud computing environment" international journal of computer trends and technology (ijctt).
  14. Zenon Chaczko, Venkatesh Mahadevan, Shahrzad Aslanzadeh, Christopher Mcdermid (2011)"Availabity and Load Balancing in Cloud Computing" International Conference on Computer and Software Modeling IPCSIT vol. 14 IACSIT Press,Singapore 2011
  15. M. Beltran, A. Guzman and J. L. Bosque(2011), "Dealing withheteroginity in clusters" in proceeding of the Fifth International Symposium on Parallel and Distributed Computing, ISPDC.
  16. P. Warstein, H. Situ and Z. Huang(2010), "Load balancing in a cluster computer" In proceeding of the seventh International Conference on Parallel and Distributed Computing, Applications and Technologies, IEEE.
Index Terms

Computer Science
Information Sciences

Keywords

Genetic algorithm Stochastic Hill Climbing Token Routing Ant colony optimization algorithm Central queuing Generalized Priority Algorithm SJF Honey Bee Foraging Connection mechanism.