Pragma: An infrastructure for runtime management of grid applications

M. Parashar, S. Hariri

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

2 Scopus citations

Abstract

This paper presents an overview of Pragma, an adaptive runtime infrastructure capable of reactively and proactively managing and optimizing application execution using current system and application state, predictive models for system behavior and application performance, and an agent based control network. The overarching motivation for this research is to enable the next generation of very largescale dynamically adaptive scientific and engineering simulations on widely distributed and highly heterogeneous and dynamic execution environments such as the computational "grid". Pragma combines 4 key components: system characterization and abstraction component, application characterization component, active network control, and policybase. The design of Pragma is driven by three astrophysical simulations chosen to be representative of a wide variety of important simulations and to expose many of the problems presently encountered (and currently unsolved) by computational physicists. The design, prototype implementation, and preliminary evaluations of Pragma components are presented.

Original languageEnglish (US)
Title of host publicationProceedings - International Parallel and Distributed Processing Symposium, IPDPS 2002
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages176-183
Number of pages8
ISBN (Electronic)0769515738, 9780769515731
DOIs
StatePublished - 2002
Event16th International Parallel and Distributed Processing Symposium, IPDPS 2002 - Ft. Lauderdale, United States
Duration: Apr 15 2002Apr 19 2002

Publication series

NameProceedings - International Parallel and Distributed Processing Symposium, IPDPS 2002

Other

Other16th International Parallel and Distributed Processing Symposium, IPDPS 2002
CountryUnited States
CityFt. Lauderdale
Period4/15/024/19/02

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Modeling and Simulation

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