Enabling autonomic grid applications: requirements, models and infrastructure

  • Authors:

  • M. Parashar;Z. Li;H. Liu;V. Matossian;C. Schmidt

  • Affiliations:

  • The Applied Software Systems Laboratory, Rutgers University, Piscataway, NJ;The Applied Software Systems Laboratory, Rutgers University, Piscataway, NJ;The Applied Software Systems Laboratory, Rutgers University, Piscataway, NJ;The Applied Software Systems Laboratory, Rutgers University, Piscataway, NJ;The Applied Software Systems Laboratory, Rutgers University, Piscataway, NJ

  • Venue:
  • Self-star Properties in Complex Information Systems
  • Year:
  • 2005

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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, which are based on strategies used by biological systems to 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. Two applications enabled by AutoMate are also described.