文章基本信息

标题：DEADLINE CONSTRAINED SCIENTIFIC WORKFLOW SCHEDULING WITH RANKING AND REPLICATION OF TASKS
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作者：Nallakumar. R 1, Dr. N. Sengottaiyan 2, Sruthi Priya K.S 3 1Teaching Fellow, 3 PG Scholar Department of CSE, Anna University Regional Centre, Coimbatore, India 1 2 Professor, Depatment of CSE, Indira Institute of Engineering ; Technology, Thiruvallur, Chennai, India
期刊名称：International Journal of Computer Informatics & Technological Engineering
电子版ISSN：2348-8557
出版年度：2015
期号：4179
页码：42-48
出版社：Pioneering Journals Publisher
摘要：The emergence of Cloud computing in distributed systems for service provisioning stimulates the analysts and researchers in executing exploratory scientific applications such as workflows. The most demanding issues in the Clouds are workflow scheduling, which expects to fulfil the Quality of Service of the user like a deadline along with the cost reduction of workflow execution. An already prevailing work on workflow scheduling algorithm is in view of Partial Critical Paths which endeavour’s to reduce the workflow execution cost and attempts to execute within the user-defined deadline and it is done only in a single cloud where ample resources won’t be present to fulfil the user demand. In that case cloud providers will continue to process the user demands in order to increase their revenue. To address this problem, a novel replication aware dynamic workflow scheduling is introduced to the thought of ranking of tasks along with task replication for multi cloud and it dynamically allocates the workflows across multiple cloud domains by satisfying the Quality of Service requirement of the users.