AutoMate: Enabling Autonomic Applications on the Grid

  • Authors:

  • M. Parashar;H. Liu;Z. Li;V. Matossian;C. Schmidt;G. Zhang;S. Hariri

  • Affiliations:

  • The Applied Software Systems Laboratory, Department of Electrical and Computer Engineering, Rutgers, The State University of New Jersey;The Applied Software Systems Laboratory, Department of Electrical and Computer Engineering, Rutgers, The State University of New Jersey;The Applied Software Systems Laboratory, Department of Electrical and Computer Engineering, Rutgers, The State University of New Jersey;The Applied Software Systems Laboratory, Department of Electrical and Computer Engineering, Rutgers, The State University of New Jersey;The Applied Software Systems Laboratory, Department of Electrical and Computer Engineering, Rutgers, The State University of New Jersey;The Applied Software Systems Laboratory, Department of Electrical and Computer Engineering, Rutgers, The State University of New Jersey;High Performance Distributed Computing Laboratory, Department of Electrical and Computer Engineering, University of Arizona

  • Venue:
  • Cluster Computing
  • Year:
  • 2006

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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.