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AutoMate: Enabling Autonomic Applications on the Grid

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Abstract

The increasing complexity, heterogeneity, and dynamism of emerging pervasive Grid environments and applications has necessitated the development of autonomic self-managing solutions, that are inspired by biological systems and deal with similar challenges of complexity, heterogeneity, and uncertainty. This paper introduces Project AutoMate and describes its key components. The overall goal of Project Automate is to investigate conceptual models and implementation architectures that can enable the development and execution of such self-managing Grid applications. Illustrative autonomic scientific and engineering Grid applications enabled by AutoMate are presented.

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Authors and Affiliations

  1. The Applied Software Systems Laboratory, Department of Electrical and Computer Engineering, Rutgers, The State University of New Jersey, New Jersey

    M. Parashar, H. Liu, Z. Li, V. Matossian, C. Schmidt & G. Zhang

  2. High Performance Distributed Computing Laboratory, Department of Electrical and Computer Engineering, University of Arizona, Arizona

    S. Hariri

Authors
  1. M. Parashar
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  2. H. Liu
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  3. Z. Li
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  4. V. Matossian
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  5. C. Schmidt
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  6. G. Zhang
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  7. S. Hariri
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Corresponding author

Correspondence to C. Schmidt.

Additional information

The research presented in this paper is supported in part by the National Science Foundation via grants numbers ACI 9984357, EIA 0103674, EIA 0120934, ANI 0335244, CNS 0305495, CNS 0426354 and IIS 0430826. The authors would like to acknowledge the contributions of M. Agarwal, V. Bhat and N. Jiang to this research.

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Parashar, M., Liu, H., Li, Z. et al. AutoMate: Enabling Autonomic Applications on the Grid. Cluster Comput 9, 161–174 (2006). https://doi.org/10.1007/s10586-006-7561-5

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  • DOI: https://doi.org/10.1007/s10586-006-7561-5

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