Dynamic deployment of a component framework with the Ubiqis system

Steven Brandt, Gabrielle Dawn Allen, Matthew Eastman, Matthew Kemp, Erik Schnetter

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

Abstract

Component frameworks provide one strategy for the development and deployment of complex multiphysics applications, which are increasingly developed by collaborative, distributed, and diverse teams, and are deployed across multiple supercomputer architectures located at numerous sites. One longstanding issue is the management of components. The complexity involved in choosing, locating, compiling, verifying, and deploying codes consisting of hundreds of independent modules can be overwhelming for beginners, and is a huge burden on developers and users. In the case of Cactus, framework-specific tools have been developed to address some of these issues, but it still suffers from being somewhat ad-hoc, difficult to maintain, and lacking in capabilities. This paper describes a dynamic framework for deploying applications that we are developing, called Ubiqis, which works automatically and on-demand. It is decentralized, requires no per-application configuration by administrative staff, and can work recursively to resolve dependencies.

Original languageEnglish (US)
Title of host publication2nd International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2009
Pages68-74
Number of pages7
DOIs
StatePublished - Dec 11 2009
Externally publishedYes
Event2nd International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2009 - London, United Kingdom
Duration: Aug 4 2009Aug 6 2009

Publication series

Name2nd International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2009

Other

Other2nd International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2009
Country/TerritoryUnited Kingdom
CityLondon
Period8/4/098/6/09

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Science Applications
  • Software

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