RELIABILITY MEASURES FOR DISTRIBUTED PROCESSING SYSTEMS.

S. Hariri, C. S. Raghavendra, V. K. Prasanna Kumar

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

3 Scopus citations

Abstract

Reliability of a distributed processing system is an important design parameter that can be described in terms of the reliability of processing elements and communication links and of the redundancy of programs and data files. To effectively model the reliability of distributed systems, such as distributed operating systems, distributed data servers, and distributed data bases, several reliability measures are introduced. These reliability measures are distributed program reliability, which describes the probability that a distributed program is working, and distributed system reliability, which describes the probability that all the distributed programs of the system are working. These two reliability measures can be extended to incorporate the effects of the user sites on the reliability measures. The authors also developed an efficient unified approach based on graph traversal to evaluate the proposed reliability measures.

Original languageEnglish (US)
Title of host publicationUnknown Host Publication Title
PublisherIEEE
Pages362-370
Number of pages9
ISBN (Print)0818606398
StatePublished - Dec 1 1985

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Hariri, S., Raghavendra, C. S., & Prasanna Kumar, V. K. (1985). RELIABILITY MEASURES FOR DISTRIBUTED PROCESSING SYSTEMS. In Unknown Host Publication Title (pp. 362-370). IEEE.