Scheduling Tasks in the Cloud Computing Environment with the Effect of Cuckoo Optimization Algorithm

International Journal of Computer Science and Engineering
© 2016 by SSRG - IJCSE Journal
Volume 3 Issue 8
Year of Publication : 2016
Authors : Mohammad Javad Abbasi, Mehrdad Mohri

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How to Cite?

Mohammad Javad Abbasi, Mehrdad Mohri, "Scheduling Tasks in the Cloud Computing Environment with the Effect of Cuckoo Optimization Algorithm," SSRG International Journal of Computer Science and Engineering , vol. 3,  no. 8, pp. 1-9, 2016. Crossref, https://doi.org/10.14445/23488387/IJCSE-V3I8P101

Abstract:

Cloud computing is a new computing way that has emerged recently in the commercial market Increased processor speed, storage technology growth and success of the Internet in the computing resources cheaper, more powerful and more accessible, make a new type of service on the Internet is called cloud computing. Big companies like Google, Amazon and Microsoft moved to this technology for more advantages. In this research will be discussed tasks scheduling optimization in cloud by cuckoo algorithm. Cuckoo optimization algorithm is a new way that can find the global optimum. This is one of the newest and most powerful optimization methods that have been introduced. This study aimed to minimize the overall execution time or cost time and improve load balancing and application resources with cloud computing is an algorithm for scheduling problem. The research is divided into two parts. In the first part will be reviewed a comprehensive study in the field of cloud computing in various aspects of job scheduling procedures Then in the second part to be evaluated the proposed methods to solve scheduling problems and to implement algorithms.

Keywords:

 Cloud computing, Cuckoo algorithms, optimization, scheduling tasks.

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