Enabling self-management of component-based high-performance scientific applications

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

16 Scopus citations

Abstract

Emerging high-performance parallel/distributed scientific applications and environments are increasingly large, dynamic and complex. As a result, it requires programming systems that enable the applications to detect and dynamically respond to changing requirements, state and execution context by adapting their computational behaviors and interactions. In this paper, we present such a programming system that extends the Common Component Architecture to enable self-management of component-based scientific applications. The programming system separates and categorizes operational requirements of scientific applications, and allows them to be specified and enforced at runtime through re-configuration, optimization and healing of individual components and the application. Two scientific simulations are used to illustrate the system and its self-managing behaviors. A performance evaluation is also presented.

Original languageEnglish (US)
Title of host publicationProceedings - 14th IEEE Interntional Symposium on High Performance Distributed Computing, HPD-14
Pages59-68
Number of pages10
DOIs
StatePublished - 2005
Event14th IEEE International Symposium on High Performance Distributed Computing, HPDC-14 - Research Triangle Park, NC, United States
Duration: Jul 24 2005Jul 27 2005

Publication series

NameProceedings of the IEEE International Symposium on High Performance Distributed Computing
ISSN (Print)1082-8907

Other

Other14th IEEE International Symposium on High Performance Distributed Computing, HPDC-14
CountryUnited States
CityResearch Triangle Park, NC
Period7/24/057/27/05

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications

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