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
Link To Document :
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