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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

Unique Identifier

JETIR1905U98

Page Number

2893-2897

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Title

Task Scheduling Implementations Study by Using Various Algorithms in Cloud Computing

ISSN

2349-5162

Cite This Article

"Task Scheduling Implementations Study by Using Various Algorithms in Cloud Computing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.2893-2897, May 2019, Available :http://www.jetir.org/papers/JETIR1905U98.pdf

Abstract

Cloud computing is the fastest growing technology due to its ability of allowing users to pay as they need and which has the highest performance.Cloud computing is capable of holding large amounts of data owing to its heterogeneous nature. For an application, during the process of scheduling or computing critical data, it is necessary to optimize the transferring and processing time, which in-turn is very crucial to the application. Due to the newness of the cloud computing arena, there are not many standard task scheduling algorithms being used in the cloud. The high communication cost in the cloud, does not allows well known task schedulers to be applied in a large distributed computing environments. Today, attempts are being made to build job scheduling algorithms, which are more compatible in nature and is well versed with the cloud environment. The most important task in cloud computing environment is the Job Scheduling, as user’s pays for the resources being used and which is time based. So it’s mandatory that the resource utilization should be very efficient, and for that the task scheduling plays a very important role in getting maximum benefit from the resources. In this paper, I have carefully measured different types of scheduling algorithms and presented their scheduling factors, parameters etc. Already existing workflow scheduling algorithmdoes not consider availability and reliability. In this paper, a novel heuristic scheduling algorithm, which is called as a hyper-heuristic scheduling algorithm, is presented, and which is used find a better scheduling solutions for the computing systems in the cloud. The final result confirms that the HHSA can drastically reduce the makespan of the task scheduling as compared with other scheduling algorithms.

Key Words

Cloud computing, Task scheduling, Heuristic Algorithm, Optimization, Particle Swarm

Cite This Article

"Task Scheduling Implementations Study by Using Various Algorithms in Cloud Computing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp2893-2897, May 2019, Available at : http://www.jetir.org/papers/JETIR1905U98.pdf

Publication Details

Published Paper ID: JETIR1905U98
Registration ID: 306649
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 2893-2897
ISSN Number: 2349-5162

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Cite This Article

"Task Scheduling Implementations Study by Using Various Algorithms in Cloud Computing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp2893-2897, May 2019, Available at : http://www.jetir.org/papers/JETIR1905U98.pdf




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