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Analysis and Performance Assessment of CPU Scheduling Algorithms in Cloud using CloudSim

Monica Gahlawat, Priyanka Sharma Published in Parallel Computing

International Journal of Applied Information Systems
Year of Publication: 2013
© 2012 by IJAIS Journal
10.5120/ijais13-450970
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  1. Monica Gahlawat and Priyanka Sharma. Article: Analysis and Performance Assessment of CPU Scheduling Algorithms in Cloud using CloudSim. International Journal of Applied Information Systems 5(9):5-8, July 2013. BibTeX

    @article{key:article,
    	author = "Monica Gahlawat and Priyanka Sharma",
    	title = "Article: Analysis and Performance Assessment of CPU Scheduling Algorithms in Cloud using CloudSim",
    	journal = "International Journal of Applied Information Systems",
    	year = 2013,
    	volume = 5,
    	number = 9,
    	pages = "5-8",
    	month = "July",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

Scheduling refers to a set of policies and mechanisms to control the order of work to be performed by a computer system. CPU is by far the most important resource of the computer system. Recent advances in software and architecture of the system increased the complexity of the processing as the computing is now distributed and parallel. Job scheduling is complex in this environment. The VM (Virtual Machine) can use a distinctive VCPUs (Virtual CPU) running queue for each physical CPU, which is referred to Partition Queue Model (PQM). As a contrast, a Sharing Queue Model (SQM) of CPU scheduling algorithm can be used. This paper is analyzing and evaluating the performance of various CPU scheduling in cloud environment using CloudSim.

Reference

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Keywords

Virtual machine, virtual CPU, Cloud computing, CPU scheduling algorithms