Autonomic computing: an overview

  • Authors:
  • Manish Parashar;Salim Hariri

  • Affiliations:
  • The Applied Software Systems Laboratory, Rutgers University, Piscataway, NJ;High Performance Distributed Computing Laboratory, University of Arizona, Tucson, AZ

  • Venue:
  • UPP'04 Proceedings of the 2004 international conference on Unconventional Programming Paradigms
  • Year:
  • 2004

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Abstract

The increasing scale complexity, heterogeneity and dynamism of networks, systems and applications have made our computational and information infrastructure brittle, unmanageable and insecure. This has necessitated the investigation of an alternate paradigm for system and application design, which is based on strategies used by biological systems to deal with similar challenges – a vision that has been referred to as autonomic computing. The overarching goal of autonomic computing is to realize computer and software systems and applications that can manage themselves in accordance with high-level guidance from humans. Meeting the grand challenges of autonomic computing requires scientific and technological advances in a wide variety of fields, as well as new software and system architectures that support the effective integration of the constituent technologies. This paper presents an introduction to autonomic computing, its challenges, and opportunities.