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  Published Paper Details:

  Paper Title

REMODELLED ROUND ROBIN SCHEDULING ALGORITHM FOR EFFICIENT UTILIZATION OF CPU

  Authors

  Kajol Kathuria,  Reetu Singh

  Keywords

Scheduling, Round Robin Algorithm, Time Quantum , Mean, Better turnaround time, Waiting time

  Abstract


The more people are getting involved in the technology, faster they want to process things, for faster evaluation of the work good , efficient processors are required. For Optimum Usage of CPU(Central Processing Unit), scheduling of the task is essential. CPU scheduling is the chief task of multi -programmed operating systems. Since Modern working frameworks are being switched from single job environment to multitask environment and technologies like big data ,cloud computing have already boomed up that utilization of resources with traditional scheduling algorithm are not efficient. The purpose of this paper is to introduce a variant of Round Robin algorithm with a new method of calculating Time Quanta also known as time slices. Time Quanta is a fixed amount of time by which number of processes are executed. Here,in this paper time quantum is calculated using mean of Minimum burst time and maximum burst time of the processes. This scheduling method gives a better result than other methods of improved round robin scheduling and traditional Round Robin Scheduling..

  IJCRT's Publication Details

  Unique Identification Number - IJCRT1803182

  Paper ID - 184541

  Page Number(s) - 608-612

  Pubished in - Volume 6 | Issue 1 | March 2018

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Kajol Kathuria,  Reetu Singh,   "REMODELLED ROUND ROBIN SCHEDULING ALGORITHM FOR EFFICIENT UTILIZATION OF CPU", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.608-612, March 2018, Available at :http://www.ijcrt.org/papers/IJCRT1803182.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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