An Optimization Framework for Dynamic, Distributed Real-Time Systems

  • Authors:
  • Klaus Ecker;David Juedes;Lonnie Welch;David Chelberg;Carl Bruggeman;Frank Drews;David Fleeman;David Parrott;Barbara Pfarr

  • Affiliations:
  • -;-;-;-;-;-;-;-;-

  • Venue:
  • IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
  • Year:
  • 2003

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Abstract

This paper presents a model that is useful for developing resource allocation algorithms for distributed real-time systems that operate in dynamic environments. Interesting aspects of the model include dynamic environments, utility and service levels, which provide a means for graceful degradation in resource-constrained situations and support optimization of the allocation of resources. The paper also provides an allocation algorithm that illustrates how to use the model for producing feasible, optimal resource allocations.