A Review Work On Task Scheduling In Cloud Computing Using Genetic Algorithm
Journal: International Journal of Scientific & Technology Research (Vol.2, No. 8)Publication Date: 2013-08-25
Authors : Savitha. P; J Geetha Reddy;
Page : 241-245
Keywords : Index Terms Task Scheduling; Genetic AlgorithmGA; Virtual MachineVM; CloudSim; CloudLet; Simulate Experiment. Job Scheduling;
Abstract
Abstract Cloud computing is one of the upcoming latest new computing paradigm where applications and data services are provided over the Internet. Todays most of the business organizations and educational institutions use cloud environment. The Task management is the key role in cloud computing systems task scheduling problems are main which relate to the efficiency of the whole cloud computing facilities. Scheduling in cloud means selection of best suitable resources for task execution. A task scheduler in Cloud computing has to satisfy cloud users with the agreed QoS and improve profits of cloud providers. There are a mass of researches on the issue of scheduling in cloud computing most of them however are about workflow and job scheduling. The scheduling entails the selection of the services and the appropriate start time for each workflow. In this paper we mainly focus on different types of workflow scheduling algorithms. The main focus is to study various problems issues and types of scheduling based on the genetic algorithm for cloud workflows.
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