Scientific Programming

Scientific Programming / 2006 / Article
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Scientific Workflows

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Volume 14 |Article ID 271608 | https://doi.org/10.1155/2006/271608

Jia Yu, Rajkumar Buyya, "Scheduling Scientific Workflow Applications with Deadline and Budget Constraints Using Genetic Algorithms", Scientific Programming, vol. 14, Article ID 271608, 14 pages, 2006. https://doi.org/10.1155/2006/271608

Scheduling Scientific Workflow Applications with Deadline and Budget Constraints Using Genetic Algorithms

Received30 Dec 2006
Accepted30 Dec 2006

Abstract

Grid technologies have progressed towards a service-oriented paradigm that enables a new way of service provisioning based on utility computing models, which are capable of supporting diverse computing services. It facilitates scientific applications to take advantage of computing resources distributed world wide to enhance the capability and performance. Many scientific applications in areas such as bioinformatics and astronomy require workflow processing in which tasks are executed based on their control or data dependencies. Scheduling such interdependent tasks on utility Grid environments need to consider users' QoS requirements. In this paper, we present a genetic algorithm approach to address scheduling optimization problems in workflow applications, based on two QoS constraints, deadline and budget.

Copyright © 2006 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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