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Agent-Mediated Genetic Super-Scheduling in Grid Environments

  • Conference paper
Parallel and Distributed Computing: Applications and Technologies (PDCAT 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3320))

Abstract

Super-scheduling in a dynamic grid environment is a very challenging issue that remains to be solved before a grid can be deployed and effectively utilized. In this paper we investigate a paradigm based on genetic algorithms (GA) to efficiently solve the scheduling problem. This GA paradigm is architecturally combined with the multiagent system (MAS) paradigm to form a flexible super-scheduling system. A three-layered scheduling architecture is presented and the corresponding realization of a multiagent-based system is described. The experiment shows that the better scheduling results are obtained for the adopted metrics of flow time and job stretch.

The authors acknowledge the contribution of Yueqin Jiang to the earlier version of this paper.

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References

  1. Acharya, S., Muthukrishnan, S.: Scheduling On-demand Broadcasts: New Metrics and Algorithms. In: Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking (1998)

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Author information

Authors and Affiliations

  1. Information Communication Institute of Singapore, School of Electrical and Electronics Engineering, Nanyang Technological University, 639798, Singapore

    Gang Chen & Zhonghua Yang

  2. Asia Pacific Science and Technology Center, Sun Microsystems Inc.,  

    Simon See & Jie Song

Authors
  1. Gang Chen
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  2. Zhonghua Yang
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  3. Simon See
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  4. Jie Song
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Editor information

Editors and Affiliations

  1. Nanyang Centre for Supercomputing and Visualisation School of Mechanical and Production Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639 798, Singapore

    Kim-Meow Liew

  2. School of Computer Science, The University of Adelaide,  

    Hong Shen

  3. Asia Pacific Science and Technology Center, Sun Microsystems Inc., 50 Nanyang Avenue, N3-1c-10, 639798, Singapore

    Simon See

  4. School of Computer Engineering, Nanyang Technological University, 639798, Singapore

    Wentong Cai

  5. Southwest Jiaotong University,  

    Pingzhi Fan

  6. Tohoku University ,  

    Susumu Horiguchi

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© 2004 Springer-Verlag Berlin Heidelberg

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Cite this paper

Chen, G., Yang, Z., See, S., Song, J. (2004). Agent-Mediated Genetic Super-Scheduling in Grid Environments. In: Liew, KM., Shen, H., See, S., Cai, W., Fan, P., Horiguchi, S. (eds) Parallel and Distributed Computing: Applications and Technologies. PDCAT 2004. Lecture Notes in Computer Science, vol 3320. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30501-9_77

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  • DOI: https://doi.org/10.1007/978-3-540-30501-9_77

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24013-6

  • Online ISBN: 978-3-540-30501-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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