Analysis of Job Scheduling Algorithms in Cloud Computing

International Journal of Computer Trends and Technology (IJCTT)          
© 2014 by IJCTT Journal
Volume-9 Number-7
Year of Publication : 2014
Authors : Rajveer Kaur , Supriya Kinger
DOI :  10.14445/22312803/IJCTT-V9P169


Rajveer Kaur , Supriya Kinger."Analysis of Job Scheduling Algorithms in Cloud Computing". International Journal of Computer Trends and Technology (IJCTT) V9(7):379-386, March 2014. ISSN:2231-2803. Published by Seventh Sense Research Group.

Abstract -
Cloud computing is flourishing day by day and it will continue in developing phase until computers and internet era is in existence. While dealing with cloud computing, a number of issues are confronted like heavy load or traffic while computation. Job scheduling is one of the answers to these issues. It is the process of mapping task to available resource. In section (1) discuss about cloud computing and scheduling. In section (2) explain about job scheduling in cloud computing. In section (3) existing algorithms for job scheduling are discussed, section (4) existing algorithms are compared and lastly section (5) conclusion and future work are discussed.

[1] Savitha. P, J Geetha Reddy ,”A Review Work On Task Scheduling In Cloud Computing Using Genetic Algorithm”, International Journal of Scientific & Technology Research Vol. 2, Issue 8, August 2013.
[2] Börje Ohlman, René Rembarz,” What Networking of Information Can Do for Cloud Computing”, 2009 18th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises.
[3] Dr Ajay jangra, Tushar Saini,” Scheduling Optimization in Cloud Computing,” International Journal of Advanced Research in Computer Science and Software Engineering, Volume 3, Issue 4, April 2013.
[4] Ram Kumar Sharma and Nagesh Sharma, "A Dynamic Optimization Algorithm for Task Scheduling in Cloud Computing With Resource Utilization", International Journal of Scientific Engineering and Technology, Volume No.2, Issue No.10, pp. 1062-1068.
[5] Hong Sun, Shi-ping Chen, Chen Jin, and Kai Guo1,"Research and Simulation of Task Scheduling Algorithm in Cloud Computing", Telkomnika, Vol.11, No.11, November 2013, pp. 6664-6672.
[6] Tejinder Sharma, and Vijay Kumar Banga, "Efficient and Enhanced Algorithm in Cloud Computing", International Journal of Soft Computing and Engineering (IJSCE), Volume-3, Issue-1, March 2013, pp. 385-390.
[7] Lu Huang, Hai-shan Chen and Ting-ting Hu, "Survey on Resource Allocation Policy and Job Scheduling Algorithms of Cloud Computing" ,Journal of Software, Vol. 8, No. 2, February 2013, pp. 480-487.
[8] Van den Bossche, R., Vanmechelen, K., Broeckhove, J, “Cost Optimal Scheduling in Hybrid IaaS Clouds for Deadline Constrained Workloads”, in 3rd IEEE International Conference on Cloud Computing, Miami (July 2010)
[9] Savitha. P, J Geetha Reddy ,”A Review Work On Task Scheduling In Cloud Computing Using Genetic Algorithm”, International Journal of Sciences & Technology Research, vol 2, Issue 8, August (2013)
[10] Ankur Bhardwaj “ Comparative Study of Scheduling Algorithms in Operating System”, International Journal of Computers and Distributed Systems, Vol. No.3, Issue I, April-May 2013
[11] V. Krishna Reddy, L.S.S.Reddy, “A Survey of Various task Scheduling Algorithms in Cloud Environment”, Global Journal Engineering and Applied Sciences (GJEAS),Volume 2. No 1 , January 2012.

Cloud Computing, Job Scheduling, FCFS, SJF, Round Robin, Priority, GA.