B. Poornima, S. R. Mugunthan, SVS College of Engineering, Coimbatore, Tamilnadu, India.
DOI : 01.0401/ijaict.2014.06.02
International Journal of Advanced Information and Communication Technology
Received On : February 08, 2016
Revised On : March 09, 2016
Accepted On : April 10, 2016
Published On : May 05, 2016
Volume 03, Issue 05
Pages : 482-487
Abstract
The cloud infrastructure supplies them to proper environment for developing and executing workflow application in deadline constrained. A workflow application deals with software base application which is to automate at least some degree of process. Existing research in scientific workflow deals with the idle time for provisioned resource and to replicating task among several clouds. It increases the four well known scientific workflow simulation experiment to dealing with deadline met and to reduce the total execution time corresponds to application as the budget available for replication increases. To increase the capacity of the EIRP algorithm to enabling replication among tasks into multiple clouds. We propose an algorithm for structure aware scheduling and ranking the tasks replication. Also deals with how scheduling processes performed into multiple clouds.
Keywords
Cloud Computing, Scientific Workflow, Task Replication, Soft Deadline, Scheduling Jobs.
Cite this article
B. Poornima, S. R. Mugunthan, “Deadlines Budget Constraint in Multiple Cloud Workflows by using Tasks Replication” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.482-487, May 05, 2016.
Copyright
© 2016 B. Poornima, S. R. Mugunthan. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.