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Columbus, Ohio, USA
June 6, 2005 to June 10, 2005
ISBN: 0-7695-2328-5
pp: 587-593
Yuhong Feng , Nanyang Technological University
Wentong Cai , Nanyang Technological University
Jiannong Cao , Hong Kong Polytechnic University
Mobile agent based distributed job workflow execution is a promising paradigm for data intensive collaborative scientific computations over the Grid. In this paper, a Mobile Code Collaboration Framework (MCCF) for distributed job workflow execution over the Grid is described and an algorithm to identify partners for agent communication in MCCF is presented. Previous work of mobile agent communication focuses mainly on agent location and communication. Little work has been done on communication partner identification. In MCCF, a novel subjob grouping algorithm for preprocessing the job workflow?s static specification is developed. The obtained information will then be used during runtime to identify partners for agent communication. The mobile agent dynamic location and communication based on this approach will limit the number of agents required for communication during the dynamic job workflow execution. The algorithm is evaluated through a comparison study using simulated job workflows executed on a prototype implementation of the MCCF. The results show that the algorithm is scalable and efficient.
Grid Computing, Distributed Job Workflow Execution, Mobile Agent Communication, Communication Partner Identification
Yuhong Feng, Wentong Cai, Jiannong Cao, "Communication Partner Identification in Distributed Job Workflow Execution over the Grid", ICDCSW, 2005, 2013 IEEE 33rd International Conference on Distributed Computing Systems Workshops, 2013 IEEE 33rd International Conference on Distributed Computing Systems Workshops 2005, pp. 587-593, doi:10.1109/ICDCSW.2005.50
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