CFP last date
20 January 2025
Reseach Article

Improve Scheduling Task based Task Grouping in Cloud Computing System

by Lailah M.mustafa, Mohamed K. Elmahy, Mohamed H. Haggag
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 93 - Number 8
Year of Publication: 2014
Authors: Lailah M.mustafa, Mohamed K. Elmahy, Mohamed H. Haggag
10.5120/16232-5561

Lailah M.mustafa, Mohamed K. Elmahy, Mohamed H. Haggag . Improve Scheduling Task based Task Grouping in Cloud Computing System. International Journal of Computer Applications. 93, 8 ( May 2014), 1-5. DOI=10.5120/16232-5561

@article{ 10.5120/16232-5561,
author = { Lailah M.mustafa, Mohamed K. Elmahy, Mohamed H. Haggag },
title = { Improve Scheduling Task based Task Grouping in Cloud Computing System },
journal = { International Journal of Computer Applications },
issue_date = { May 2014 },
volume = { 93 },
number = { 8 },
month = { May },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume93/number8/16232-5561/ },
doi = { 10.5120/16232-5561 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:15:14.622163+05:30
%A Lailah M.mustafa
%A Mohamed K. Elmahy
%A Mohamed H. Haggag
%T Improve Scheduling Task based Task Grouping in Cloud Computing System
%J International Journal of Computer Applications
%@ 0975-8887
%V 93
%N 8
%P 1-5
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In recently years, the information communication technology (ICT) appeared new paradigm of utility computing called cloud computing. The consumer cloud is always important of high performance for cloud computing service and satisfy service agree level (SLA). In cloud computing, there is a need of further improvement in task scheduling algorithm to group of tasks, which will reduce the response time and enhance computing resource utilization. This grouping strategy considers the processing capacity, memory size and service type requirement of each task to realize the optimization for cloud computing environment. It also improves computation/communication ratio and utilization of available resources by grouping the user tasks before resource allocation. The experimental results were conducted in a simulation cloud computing environment by generator services and tasks request for consumer cloud. The results show that gives comparator between our strategies and improve activity based costing algorithm.

References
  1. R. Buyya, C. S. Yeo, S. Venugopal, J. Broberg, and I. Brandic, "Cloud Computing and Emerging IT Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility, Future Generation Computer Systems", Elsevier Science, Amsterdam, The Netherlands, 2009 (pp. 599-616).
  2. Fang Liu, Jin Tong, Jian Mao, Robert Bohn, John Messina, Lee Badger and Dawn Leaf, " NIST Cloud Computing Reference Architecture" Special Publication 500-292 September 2011.
  3. Wei-Tek Tsai*, Xin Sun, Janaka Balasooriya, "Service-Oriented Cloud Computing Architecture". 2010 Seventh International Conference on Information Technology, IEEE.
  4. Kaiqi Xiong, Harry Perros, "Service Performance and Analysis in Cloud Computing", 2009 IEEE.
  5. R. N. Calheiros, R. Ranjan, A. Beloglazov, C. A. F. De Rose, R. Buyya, Cloudsim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms, Software: Practice and Experience 41 (1) (2011) 23–50.
  6. V. Soni, R. Sharma & M. Mishra, "Grouping-Based Job Scheduling Model In Grid Computing ", World Academy of Science, Engineering and Technology Publishing, Vol. 4(1),issue 5 , 2010, pp: 781-784.
  7. Ng Wai Keat, Ang Tan Fong, "Scheduling Framework For Bandwidth-Aware Job Grouping-Based Scheduling In Grid Computing", Malaysian Journal of Computer Science, Vol. 19, No. 2, pp. 117-126, 2006.
  8. N. Muthuvelu, Junyan Liu, N. L. Soe, S. venugopal, A. Sulistio, and R. Buyya, "A dynamic job grouping-based scheduling for deploying applications with fine-grained tasks on global grids," in Proc of Australasian workshop on grid computing, vol. 4, pp. 41–48, 2005.
  9. Mrs. S. Selvarani, Dr. G. Sudha Sadhasivam, "Improved Cost-Based Algorithm For Task Scheduling In Cloud Computing" IEEE, 2010.
Index Terms

Computer Science
Information Sciences

Keywords

Service Level Agreement (SLA) grid model Cloud Information Service (CIS)