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Title

Assigning local fixed-time constraints in grid workflow systems

Author(s)

Chen, Jinjun;  Yang, Yun

Abstract

Many complex grid workflow processes often have only one global fixed-time constraint at the last activity. Since grid workflow execution normally lasts a long time, local control is very important to ensure the overall temporal correctness. With only one global fixed-time constraint, we cannot control grid workflow execution locally in terms of time. As a result, for any temporal violations, we must handle them globally with the consideration of all activities. This would impact the overall cost-effectiveness of grid workflow execution. Therefore, in this paper, we investigate how to assign local fixed-time constraints within the global one so that we can control grid workflow execution locally. Corresponding assigning and verification methods are developed. With local fixed-time constraints, we can achieve better cost-effectiveness.

Publication type

Conference paper

Research centre

Swinburne University of Technology. Faculty of Information and Communication Technologies. Centre for Information Technology Research

Source

Proceedings of the 5th International Conference on Grid and Cooperative Computing Workshops (GCCW'06), Hunan, China, 21-23 October 2006, pp. 227-234

Publication year

2006

Publisher

IEEE Computer Society

ISBN

9780769526959

Publisher URL

http://dx.doi.org/10.1109/GCCW.2006.24

Copyright

Copyright © 2006 IEEE. Published version of the paper reproduced here in accordance with the copyright policy of the publisher. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Research Projects

Agent-enabled social networks, Australian Research Council grant number LP0562500
Agent-based coordination and negotiation technologies for decentralised service workflow, Australian Research Council grant number DP0663841

Full text

Peer reviewed