Workload modeling for performance evaluation

Dror G. Feitelson*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

95 Scopus citations


The performance of a computer system depends on the characteristics of the workload it must serve: for example, if work is evenly distributed performance will be better than if it comes in unpredictable bursts that lead to congestion. Thus performance evaluations require the use of representative workloads in order to produce dependable results. This can be achieved by collecting data about real workloads, and creating statistical models that capture their salient features. This survey covers methodologies for doing so. Emphasis is placed on problematic issues such as dealing with correlations between workload parameters and dealing with heavy-tailed distributions and rare events. These considerations lead to the notion of structural modeling, in which the general statistical model of the workload is replaced by a model of the process generating the workload.

Original languageAmerican English
Title of host publicationPerformance Evaluation of Complex Systems
Subtitle of host publicationTechniques and Tools - Performance 2002 Tutorial Lectures
EditorsMaria Carla Calzarossa, Salvatore Tucci
PublisherSpringer Verlag
Number of pages28
ISBN (Print)9783540442523
StatePublished - 2002
EventIFIP WG 7.3 International Symposium on Computer Modeling, Measurement, and Evaluation, Performance 2002 - Rome, Italy
Duration: 23 Sep 200227 Sep 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceIFIP WG 7.3 International Symposium on Computer Modeling, Measurement, and Evaluation, Performance 2002

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2002.


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