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Measuring the effects of heterogeneity on distributed systemsDistributed computer systems in daily use are becoming more and more heterogeneous. Currently, much of the design and analysis studies of such systems assume homogeneity. This assumption of homogeneity has been mainly driven by the resulting simplicity in modeling and analysis. A simulation study is presented which investigated the effects of heterogeneity on scheduling algorithms for hard real time distributed systems. In contrast to previous results which indicate that random scheduling may be as good as a more complex scheduler, this algorithm is shown to be consistently better than a random scheduler. This conclusion is more prevalent at high workloads as well as at high levels of heterogeneity.
Document ID
19910016639
Acquisition Source
Legacy CDMS
Document Type
Other
Authors
El-Toweissy, Mohamed (Old Dominion Univ. Norfolk, VA, United States)
Zeineldine, Osman (Old Dominion Univ. Norfolk, VA, United States)
Mukkamala, Ravi (Old Dominion Univ. Norfolk, VA, United States)
Date Acquired
September 6, 2013
Publication Date
July 1, 1991
Publication Information
Publication: Performance Related Issues in Distributed Database Systems
Subject Category
Documentation And Information Science
Accession Number
91N25953
Funding Number(s)
CONTRACT_GRANT: NAG1-1154
CONTRACT_GRANT: NAG1-1114
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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