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Task Scheduling Using Amalgamation Of Met heuristics Swarm Optimization Algorithm And Cuckoo Search In Cloud Computing Environment


Author(s):

P.Durgadevi , R.M.K College of Engineering and Technology; Dr.S.Srinivasan, R.M.D Engineering College

Keywords:

Virtualization, Quality of service, Task scheduling, Swarm Optimisation , Metaheuristics

Abstract:

Cloud Computing is the latest networking technology and also popular archetype for hosting the application and delivering of services over the network. The foremost technology of the cloud computing is virtualization which enables of building the applications, dynamically sharing of resources and providing diverse services to the cloud users. With virtualization, a service provider can guarantee Quality of Service to the user at the same time as achieving higher server consumption and energy competence. One of the most important challenges in the cloud computing environment is the VM placemnt and task scheduling problem. This paper focus on Metaheuristic Swarm Optimisation Algorithms(MSOA) deals with the problem of VM placement and Task scheduling in cloud environment. The MSOA is a simple parallel algorithm that can be applied in different ways to resolve the task scheduling problems. The proposed algorithm is considered an amalgamation of the SO algorithm and the Cuckoo search (CS) algorithm; called MSOACS. The proposed algorithm is evaluated using Cloudsim Simulator. The results proves the reduction of the makespan and increase the utilization ratio of the proposed MSOACS algorithm compared with SOA algorithms and Randomised Allocation Allocation (RA).

Other Details:

Manuscript Id :J4RV1I9006
Published in :Volume : 1, Issue : 9
Publication Date: 01/12/2015
Page(s): 10-17
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