CFP last date
20 January 2025
Reseach Article

Improved Task Scheduling Algorithm in Cloud Environment

by Sumit Arora, Sami Anand
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 96 - Number 3
Year of Publication: 2014
Authors: Sumit Arora, Sami Anand
10.5120/16772-6342

Sumit Arora, Sami Anand . Improved Task Scheduling Algorithm in Cloud Environment. International Journal of Computer Applications. 96, 3 ( June 2014), 7-12. DOI=10.5120/16772-6342

@article{ 10.5120/16772-6342,
author = { Sumit Arora, Sami Anand },
title = { Improved Task Scheduling Algorithm in Cloud Environment },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 96 },
number = { 3 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 7-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume96/number3/16772-6342/ },
doi = { 10.5120/16772-6342 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:20:46.553279+05:30
%A Sumit Arora
%A Sami Anand
%T Improved Task Scheduling Algorithm in Cloud Environment
%J International Journal of Computer Applications
%@ 0975-8887
%V 96
%N 3
%P 7-12
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud computing is one of the hottest word in IT world and it having huge demand in these days. Some big IT companies like Google, IBM, Microsoft, Amazon, Yahoo and others develop cloud computing systems and products related to it for customers. But still customers are having difficulties for adopting the cloud computing, that is only because of the security issues exist in it. Cloud Computing is collection of large number of resources like hardware and software that are provided by the cloud providers to the consumers as a service over the internet. In cloud computing every task requires to be executed by available resource to achieve minimum waiting time, reduce makespan, best performance and maximum utilization of resources. To achieve these requirements we proposed an efficient scheduling algorithm which will work effectively to provide better result as compared with the traditional scheduling approaches. For this CloudSim framework is used to simulate the proposed algorithm under various conditions and presented the better results with reduced the waiting time and processing time with optimum resource utilization and minimum overhead for the same.

References
  1. Arora Sumit "A Review on Cloud Security Issues and Solutions" International Journal for Advance Research in Engineering and Technology, Vol. 2, Issue III, March 2014, pp. 15-18.
  2. Salot Pinal "A Survey of Various Scheduling Algorithm in Cloud Computing Environment" 2013 IJRET Volume: 2 Issue: 2, pp. 131-135.
  3. Ru Jia and Keung Jacky "An Empirical Investigation on the Simulation of Priority and Shortest-Job-First Scheduling for Cloud-based Software Systems" 2013 22nd Australian Conference on Software Engineering, pp. 78-87.
  4. Parsa Saeed and Maleki Reza Entezari "RASA: A New Task Scheduling Algorithm in Grid Environment" 2009 World Applied Sciences Journal 7 (Special Issue of Computer & IT), pp. 152-160.
  5. Elzeki O. M. , Reshad M. Z. , Elsoud M. A "Improved Max-Min Algorithm in Cloud Computing" International Journal of Computer Applications (0975 – 8887) Volume 50 – No. 12, July 2012, pp. 22-27.
  6. Bhoi Upendra, Ramanuj Purvi N. "Enhanced Max-min Task Scheduling Algorithm in Cloud Computing" International Journal of Application or Innovation in Engineering & Management, Volume 2, Issue 4, April 2013, pp. 259-264.
  7. Sharma Raksha, Soni Vishnu Kant, Mishra Manoj Kumar, Bhuyan Prachet "A Survey of Job Scheduling and Resource Management in Grid Computing" 2010 World Academy of Science, Engineering and Technology, pp. 419-424.
  8. Ren Haozheng, Lan Yihua, Yin Chao "The Load Balancing Algorithm in Cloud Computing Environment" 2012 2nd International Conference on Computer Science and Network Technology, pp. 925-928.
  9. Soni Vishnu Kant, Sharma Raksha, Mishra Manoj Kumar, Das Sarita "Constraint-Based Job and Resource scheduling in Grid Computing" 2010 IEEE, pp. 334-337.
  10. Ghosh Tarun Kumar, Goswami Rajmohan, Bera Sumit, Barman Subhabrata "Load Balanced Static Grid Scheduling Using Max-Min Heuristic" 2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing,pp. 419-423.
Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Task Scheduling Task Grouping SA Algorithm