Research Article Open Access

MULTIOBJECTIVE QoS OPTIMAZATION BASED ON MULTIPLE WORKFLOW SCHEDULING IN CLOUD ENVIRONMENT

Abstract

Cloud computing is an extension of parallel computing, distributed computing and grid computing. It provides secure, quick, convenient data storage and computing power with the help of internet. Cloud provides ondemand services based on user requirements. Whenever meet the different user with different QoS requirements scheduling the services is challenging one. Most of the existing papers for scheduling concentrate on cost or time or both. In this paper, the MQMCE schedule the services based on more than three QOS requirement such as time cost, reliability and availability. It evaluates performance for various test cases with different number of workflows and different set of QoS parameters for each workflow. The MQMCE results is the improved performance from the existing method such as reducing time effect, reducing cost effect as well as increase reliability and availability in a single objective manner.

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