PERFORMABILITY EVALUATION OF DISTRIBUTED SYSTEMS USING STOCHASTIC ACTIVITY NETWORKS.

W. H. Sanders, J. F. Meyer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Distributed systems typically exhibit degradable performance (in the presence of faults), motivating the development of unified performance-reliability models and model-based evaluation methods. A relatively general class of such models can be formulated as reward models, where a specific reward rate is associated with each state, and one seeks to determine the total benefit derived from operating the system during some specified utilization period. This work is extended to allow the derived benefit to depend on a reward rate determined by the state and activity that led to that state, plus an additional payoff determined by each state transition. The model is then solved for the expected reward obtained during a bounded utilization period. The reward model itself is constructed from a stochastic activity network (SAN) representation of the system. An example illustrates the usefulness of these techniques.

Original languageEnglish (US)
Title of host publicationUnknown Host Publication Title
PublisherIEEE
Pages111-120
Number of pages10
ISBN (Print)0818607963
StatePublished - Jan 1 1987
Externally publishedYes

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Sanders, W. H., & Meyer, J. F. (1987). PERFORMABILITY EVALUATION OF DISTRIBUTED SYSTEMS USING STOCHASTIC ACTIVITY NETWORKS. In Unknown Host Publication Title (pp. 111-120). IEEE.