DocumentCode
166277
Title
Study and analysis of various task scheduling algorithms in the cloud computing environment
Author
Mathew, Tojo ; Sekaran, K. Chandra ; Jose, Jithin
Author_Institution
Dept. of Comput. Sci. & Eng., Rajagiri Sch. of Eng. & Technol., Kochi, India
fYear
2014
fDate
24-27 Sept. 2014
Firstpage
658
Lastpage
664
Abstract
Cloud computing is a novel perspective for large scale distributed computing and parallel processing. It provides computing as a utility service on a pay per use basis. The performance and efficiency of cloud computing services always depends upon the performance of the user tasks submitted to the cloud system. Scheduling of the user tasks plays significant role in improving performance of the cloud services. Task scheduling is one of the main types of scheduling performed. This paper presents a detailed study of various task scheduling methods existing for the cloud environment. A brief analysis of various scheduling parameters considered in these methods is also discussed in this paper.
Keywords
cloud computing; parallel processing; scheduling; cloud computing environment; cloud computing services; cloud system; large scale distributed computing; parallel processing; task scheduling algorithms; utility service; Dynamic scheduling; Heuristic algorithms; Load management; Scheduling algorithms; Servers; Cloud computing; Cloudsim; Completion time; Energy efficiency; Heuristics; Makespan; Minimum execution time; Task scheduling;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on
Conference_Location
New Delhi
Print_ISBN
978-1-4799-3078-4
Type
conf
DOI
10.1109/ICACCI.2014.6968517
Filename
6968517
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