A grid-enabled adaptive problem solving environment

Yoonhee Kim, Ilkyun Ra, Salim Hariri, Yangwoo Kim

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

As complexity of computational applications and their environments has been increased due to the heterogeneity of resources; complexity, continuous changes of the applications as well as the resources states, and the large number of resources involved, the importance of problem solving environments has been more emphasized. As a PSE for metacomputing environment, Adaptive Distributed Computing Environment (ADViCE) has been developed before the emergence of Grid computing services. Current runtime systems for computing mainly focus on executing applications with static resource configuration and do not adequately change the configuration of application execution environments dynamically to optimize the application performance. In this paper, we present an architectural overview of ADViCE and discuss how it is evolving to incorporate Grid computing services to extend its range of services and decrease the cost of development, deployment, execution and maintenance for an application. We provide that ADViCE optimize the application execution at runtime adaptively optimize based on application requirements in both non-Grid and Grid environment with optimal execution options. We have implemented the ADViCE prototype and currently evaluating the prototype and its adaptive services for a larger set of Grid applications.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsMarios D. Dikaiakos
PublisherSpringer-Verlag
Pages119-128
Number of pages10
ISBN (Print)3540228888
DOIs
StatePublished - Jan 1 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3165
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Kim, Y., Ra, I., Hariri, S., & Kim, Y. (2004). A grid-enabled adaptive problem solving environment. In M. D. Dikaiakos (Ed.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 119-128). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3165). Springer-Verlag. https://doi.org/10.1007/978-3-540-28642-4_15