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execution coordination in mobile agent-based distributed job workflow execution

JOURNAL OF SYSTEMS ARCHITECTURE 2008年第10期54卷 944-956页

作者： Feng, Yuhong Cai, Wentong Nanyang Technol Univ Sch Comp Engn Parallel & Distributed Comp Ctr Singapore 639798 Singapore

Mobile agent-based distributed job workflow execution requires the use of execution coordination techniques to ensure that an agent executing a subjob can locate its predecessors' execution results. This paper describes the classification, implementation, and evaluation of execution coordination techniques in the mobile agent-based distributed job workflow execution system. First, a classification of the existing execution coordination techniques is developed for mobile agent systems. Second, to put the discussion into perspective, our framework for mobile agent-based distributed job workflow execution over the Grid (that is, MCCF: Mobile Code Collaboration Framework) is described. How the existing coordination techniques can be applied in the MCCF is also discussed. Finally. a performance study has been conducted to evaluate three coordination techniques using real and simulated job workflows. The results are presented and discussed in the paper. (C) 2008 Elsevier B.V. All rights reserved.

关键词： Grid computing distributed job workflow execution Mobile agent execution coordination

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Dynamic partner identification in mobile agent-based distributed job workflow execution

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JOURNAL OF PARALLEL AND distributed COMPUTING 2007年第11期67卷 1137-1154页

作者： Feng, Yuhong Cai, Wentong Cao, Jiannong Nanyang Technol Univ Sch Comp Engn Singapore 639798 Singapore Hong Kong Polytech Univ Dept Comp Kowloon Hong Kong Peoples R China

This paper is concerned with the design, implementation, and evaluation of algorithms for communication partner identification in mobile agent-based distributed job workflow execution. We first describe a framework for distributed job workflow execution over the Grid: the Mobile Code Collaboration Framework (MCCF). Based on the study of agent communications during a job workflow execution on MCCF, we identify the unnecessary agent communications that degrade the system performance. Then, we design a novel subjob grouping algorithm for preprocessing the job workflow's static specification in MCCF. The obtained information is used in both static and dynamic algorithms to identify partners for agent communication. The mobile agent dynamic location and communication based on this approach is expected to reduce the agent communication overhead by removing unnecessary communication partners during the dynamic job workflow execution. The proof of the dynamic algorithm's correctness and effectiveness are elaborated. Finally, the algorithms are evaluated through a comparison study using simulated job workflows executed on a prototype implementation of the MCCF on a LAN environment and an emulated WAN setup. The results show the scalability and efficiency of the algorithms as well as the advantages of the dynamic algorithm over the static one. (C) 2007 Elsevier Inc. All fights reserved.

关键词： distributed job workflow execution mobile agent communication communication partner identification grid computing

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Provenance provisioning in mobile agent-based distributed job workflow execution

Provenance provisioning in mobile agent-based distributed jo...

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7th International Conference on Computational Science (ICCS 2007)

作者： Feng, Yuhong Cai, Wentong Nanyang Technol Univ Sch Comp Engn Singapore 639798 Singapore

ISBN: (纸本)9783540725831

job workflow systems automate the execution of scientific applications, however they may hide how the results are achieved (i.e., the provenance information of the job workflow execution). This paper describes the development and evaluation of a decentralized recording and collection scheme for job workflow provenance in mobile agent-based distributed job workflow execution. A performance study was conducted to evaluate our approach against the one using a centralized provenance server. The results are discussed in the paper.

关键词： distributed job workflow execution provenance recording and collection grid computing

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Communication partner identification in distributed job workflow execution over the grid

Communication partner identification in distributed job work...

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25th IEEE International Conference on distributed Computing Systems

作者： Feng, YH Cai, WT Cao, JN Nanyang Technol Univ Sch Comp Engn Singapore 639798 Singapore

ISBN: (纸本)0769523285

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.

关键词： grid computing distributed job workflow execution mobile agent communication communication partner identification

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