Task Scheduling using Hybrid Algorithm in Cloud ComputingEnvironments
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 3
Abstract
[u][/u]Abstract: The cloud computing is considered the latest network infrastructure that supports thedecentralization of computing. The main features of the Cloud are the possibilities for building applicationsand providing various services to the end user by virtualization on the internet. One of the main challenges inthe field of the cloud computing is the task scheduling problem. Task scheduling problem concerns about thedynamic distribution of the tasks over the Cloud resources to achieve the best results. Many of the algorithmshave been existed to resolve the task scheduling problem such as a Particle Swarm Optimization algorithm(PSO). The PSO is a simple parallel algorithm that can be applied in different ways to resolve the taskscheduling problems. In this paper, a task scheduling algorithm has been proposed to the independent task overthe Cloud Computing. The proposed algorithm is considered an amalgamation of the PSO algorithm and theCuckoo search (CS) algorithm; called PSOCS. To evaluate the proposed algorithm, the cloudsim simulator hasbeen used. The experimental results show the reduction of the makespan and increase the utilization ratio of theproposed PSOCS algorithm compared with PSO algorithms and Random Allocation (RA).
Authors and Affiliations
Ali Al-maamari , Fatma A. Omara
Keywords
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