CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Resource Scheduling in Cloud using Bacterial Foraging Optimization Algorithm

by Liji Jacob, V. Jeyakrishanan, P. Sengottuvelan
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 92 - Number 1
Year of Publication: 2014
Authors: Liji Jacob, V. Jeyakrishanan, P. Sengottuvelan
10.5120/15972-4857

Liji Jacob, V. Jeyakrishanan, P. Sengottuvelan . Resource Scheduling in Cloud using Bacterial Foraging Optimization Algorithm. International Journal of Computer Applications. 92, 1 ( April 2014), 14-20. DOI=10.5120/15972-4857

@article{ 10.5120/15972-4857,
author = { Liji Jacob, V. Jeyakrishanan, P. Sengottuvelan },
title = { Resource Scheduling in Cloud using Bacterial Foraging Optimization Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { April 2014 },
volume = { 92 },
number = { 1 },
month = { April },
year = { 2014 },
issn = { 0975-8887 },
pages = { 14-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume92/number1/15972-4857/ },
doi = { 10.5120/15972-4857 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:13:08.465045+05:30
%A Liji Jacob
%A V. Jeyakrishanan
%A P. Sengottuvelan
%T Resource Scheduling in Cloud using Bacterial Foraging Optimization Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 92
%N 1
%P 14-20
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud computing is a form of parallel and distributed computing that consists of interconnected and virtualized computers. Resource scheduling in cloud computing is considered to be a complex task since multiple copies of the same tasks are assigned to different computers. Bacterial foraging optimization algorithm is a global optimization algorithm for the distributed optimization and control. In this paper a bacterial foraging optimization algorithm is used for the scheduling of the resources in the cloud environment. The performance of the algorithm is measured by the use of Cloud Sim. The experimental result shows that the proposed algorithms can reduce the cost, make span and also improve the reliability.

References
  1. B. Bhushan. , M. Singh. , 2011. Adaptive control of DC motor using Bacterial Foraging slgorithm. Applied Soft Computing 11,4913-4920.
  2. E. G. Shopova. , N. G. Vaklieva-Bancheva. 2006. BASIC –A genetic algorithm for engineering problems solution. Computerand Chemical Engineering 30,1293-1309.
  3. G. Shamsollah. , M. Othman. 2012. A Priority based Job Scheduling Algorithm in Cloud Computing. Procedia Engineering 50,778-785.
  4. P. Mell. , T. Grance. The NIST definition of cloud computing. Special Publication 800-145.
  5. R. N. Calheiros. , R. Ranjan. , A. Beloglazov. , C. A. F. De Rose. , R. Buyya. 2011. CloudSim: A toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Software-Practice and Experience . 23-50.
  6. Rajini. , I. Chana. ,2013. Bacterial foraging based hyper-heuristic for resource scheduling in grid computing", Future Generation Computer Systems 29. 751-762.
  7. S. G. Elisaveta. , V. G. Natasha. ,2006. BASIC-A genetic algorithm for engineering problems solution. Computers and Chemical Engineering 30. 1293-1309.
  8. V. Vignesh. , KS. K. Sendhil. , N. Jaisankar. , June 2013. Resource management and scheduling in cloud environment. International Journal of Scientific and Research Publications. Volume 3. Issue 6. 1-6.
  9. X. Baomin. , Z. Chunyan. , H. Enzhao. , H. Bin. ,2011. Job scheduling algorithm based on Berger model in cloud environment. Advances in Engineering Software 42. 419-425.
  10. Z. XiaLi. , C. XueFeng. , H. ZhengJia. 2010. An ACO-based algorithm for parameter optimization of support vector machines. Expert Systems with Applications 37. 6618-6628.
Index Terms

Computer Science
Information Sciences

Keywords

BFO Cloud Computing Optimization Scheduling Virtualization.

Powered by PhDFocusTM