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A Survey on Multi Objective Optimization Scheduling in Cloud Computing

Author(s):

Kowsalya. M , Avinashilingam University, Coimbatore

Keywords:

Cloud Computing, Task Scheduling, Optimization, Virtual Machines, Fault Tolerance, Genetic Algorithm

Abstract

Cloud computing is developing innovations in IT space. The booking of the cloud administrations to the customers by suppliers impacts the money saving advantage of these registering standards. Assignment booking and procurement of assets are primary issue zones in distributed computing. A powerful undertaking booking technique requires meeting the client needs as well as enhancing the effectiveness of the entire framework. Optimization algorithms are search methods where the goal is to find an optimal solution to a problem, in order to satisfy one or more objective functions, possibly subject to a set of constraints. This paper reviews various task scheduling mechanisms described by various authors.

Other Details

Paper ID: IJSRDV4I60463
Published in: Volume : 4, Issue : 6
Publication Date: 01/09/2016
Page(s): 833-836

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