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A Novel-Scheduling Algorithm for Cloud Computing based on Fuzzy Logic

Amin Mehranzadeh, Seyyed Mohsen Hashemi Published in Distributed Systems

International Journal of Applied Information Systems
Year of Publication: 2013
© 2012 by IJAIS Journal
10.5120/ijais13-450939
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  1. Amin Mehranzadeh and Seyyed Mohsen Hashemi. Article: A Novel-Scheduling Algorithm for Cloud Computing based on Fuzzy Logic. International Journal of Applied Information Systems 5(7):28-31, May 2013. BibTeX

    @article{key:article,
    	author = "Amin Mehranzadeh and Seyyed Mohsen Hashemi",
    	title = "Article: A Novel-Scheduling Algorithm for Cloud Computing based on Fuzzy Logic",
    	journal = "International Journal of Applied Information Systems",
    	year = 2013,
    	volume = 5,
    	number = 7,
    	pages = "28-31",
    	month = "May",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

Cloud computing is a new technology and Due to its economical and operational benefits it is the most popular concept in IT today. Clouds consist of a collection of virtualized resources that can be provisioned on demand, depending on the clients' needs. In this technology almost everything like hardware, software and platform are provided as a service. In cloud computing one Host is a component that represents a physical computing and a Datacenter is composed by a set of hosts, which are responsible for managing Virtual Machines during their life cycles. An important issue in cloud computing is the scheduling of virtual machines requests, so that the requested tasks can be completed in a minimum time according to the user defined time. This paper presents and evaluate a new scheduling algorithm that is an efficient technique for scheduling virtual machines between datacenters. The simulation results show the effectiveness of our algorithm by comparing it with the two scheduling techniques First Fit (FCFS) and Round Robin (RR). The results depict that the proposed scheduling algorithm can be effectively deployed on Clouds.

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Keywords

Cloud computing, scheduling algorithm, fuzzy logic