Combining Measurement and Stochastic Modelling to Enhance Scheduling Decisions for a Parallel Mean Value Analysis Algorithm

Gagarine Yaikhom, Murray Cole, Stephen Gilmore

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

Abstract

In this paper we apply the high-level modelling language PEPA to the performance analysis of a parallel program with a pipeline skeleton which computes the Mean Value Analysis (MVA) algorithm for queueing networks.
Original languageEnglish
Title of host publicationComputational Science - ICCS 2006
Subtitle of host publication6th International Conference, Reading, UK, May 28-31, 2006. Proceedings, Part II
EditorsVassil N. Alexandrov, Geert Dick Albada, Peter M.A. Sloot, Jack Dongarra
PublisherSpringer-Verlag GmbH
Pages929-936
Number of pages8
ISBN (Electronic)978-3-540-34382-0
ISBN (Print)978-3-540-34381-3
DOIs
Publication statusPublished - 2006

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin / Heidelberg
Volume3992
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Fingerprint

Dive into the research topics of 'Combining Measurement and Stochastic Modelling to Enhance Scheduling Decisions for a Parallel Mean Value Analysis Algorithm'. Together they form a unique fingerprint.

Cite this