A Survey for Different Classifications of Distributed Systems Scheduling Using Markov Chain Model

Authors(2) :-Shweta Jain, Saurabh Jain

With the establishment of internet with network technologies and the maturity in the computing industry, the distributed system has become popular and important with aspects of a challenging activity. The performance of computing system has enhanced extensively with the adding up of the concepts of multiprocessing and multi-computing. In distributed system, computing and developing of scheduling algorithm for vast spectrum of applications are a key problem and of greater interest of studying and scheduling for resource management. This paper presents a survey to classify various existing distributed system scheduling to apply the concept of Markov chain model to improve their throughput and performance.

Authors and Affiliations

Shweta Jain
Research Scholar, Faculty of Computer Science, Pacific Academy of Higher Education and Research University, Udaipur,Rajasthan, India
Saurabh Jain
Professor, Shri Vaishnav Institute of Computer Applications, Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore, Madhya Pradesh, India

Coscheduling, Distributed system, Markov Chain, Scheduling, Stochastic, Transition Matrix.

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Publication Details

Published in : Volume 2 | Issue 5 | September-October 2017
Date of Publication : 0000-00-00
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 374-379
Manuscript Number : CSEIT172572
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Shweta Jain, Saurabh Jain, "A Survey for Different Classifications of Distributed Systems Scheduling Using Markov Chain Model", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 5, pp.374-379, September-October-2017.
Journal URL : http://ijsrcseit.com/CSEIT172572

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