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Comparative analysis of scientific workflow scheduling in cloud environment
Published in IEEE
Volume: 2017-January
Pages: 1 - 7
Cloud platform is the model of parallel and distributed computing. It offers the facilities by pay-as per-usage policy. Also provides the platform for high performance application like scientific applications. Virtualization, elasticity and pay by use are the important features of cloud computing. It allows the user to submit their tasks by providing varieties of resources through internet. Since cloud provides the facility of running multiple tasks simultaneously, an eminent scheduling algorithm is needed for the better performance. Numerous task based schedulers are available in the cloud environment. In this paper we have done the analysis of various traditional scheduling algorithms based on the parameters like average makespan and cost. © 2017 IEEE.
About the journal
JournalData powered by Typeset2017 Innovations in Power and Advanced Computing Technologies (i-PACT)
PublisherData powered by TypesetIEEE
Open Access0