Performability analysis of grid architecture via queueing networks

  • Haijun Yang*
  • , Minqiang Li
  • , Qinghua Zheng
  • *Corresponding author for this work

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

Abstract

One of the major challenges for grid technologies is to create the scientific and technological base for share, collaboration, large-scale distributed systems. Theories and models of grid architectures are important to this endeavor as well as to providing the foundations for constructing grid systems able to work effectively. It is important to model and analyze the grid architecture so that it can evolve guided by scientific principles. On the basis of a coarse-grain classification of grid applications, we present a novel grid architecture taxonomy, interaction-intensive and computation-intensive architecture. In this paper, we will give some new grid performance metrics and model grid architectures mathematically via queueing networks. In addition, we obtain some scientific principles guiding the grid architecture design.

Original languageEnglish
Title of host publicationParallel and Distributed Processing and Applications - 5th International Symposium, ISPA 2007, Proceedingsq
PublisherSpringer Verlag
Pages577-588
Number of pages12
ISBN (Print)3540747419, 9783540747413
DOIs
StatePublished - 2007
Event5th International Symposium on Parallel and Distributed Processing and Applications, ISPA 2007 - Niagara Falls, Canada
Duration: 29 Aug 200731 Aug 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4742 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Symposium on Parallel and Distributed Processing and Applications, ISPA 2007
Country/TerritoryCanada
CityNiagara Falls
Period29/08/0731/08/07

Fingerprint

Dive into the research topics of 'Performability analysis of grid architecture via queueing networks'. Together they form a unique fingerprint.

Cite this