An autonomic approach to integrated HPC grid and cloud usage

Hyunjoo Kim, Yaakoub El-Khamra, Shantenu Jha, Manish Parashar

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

36 Scopus citations

Abstract

Clouds are rapidly joining high-performance Grids as viable computational platforms for scienti c exploration and discovery, and it is clear that production computational infrastructures will integrate both these paradigms in the near future. As a result, understanding usage modes that are meaningful in such a hybrid infrastructure is critical. For example, there are interesting application work ows that can bene t from such hybrid usage modes to, perhaps, reduce times to solutions, reduce costs (in terms of currency or resource allocation), or handle unexpected runtime situations (e.g., unexpected delays in scheduling queues or unexpected failures). The primary goal of this paper is to experimentally investigate, from an applications perspective, how autonomics can enable interesting usage modes and scenarios for integrating HPC Grid and Clouds. Speci cally, we used a reservoir characterization application work ow, based on Ensemble Kalman Filters (EnKF) for history matching, and the CometCloud autonomic Cloud engine on a hybrid platform consisting of the TeraGrid and Amazon EC2, to investigate 3 usage modes (or autonomic objectives) - acceleration, conservation and resilience.

Original languageEnglish (US)
Title of host publicatione-Science 2009 - 5th IEEE International Conference on e-Science
Pages366-373
Number of pages8
DOIs
StatePublished - 2009
Event5th IEEE International Conference on e-Science, e-Science 2009 - Oxford, United Kingdom
Duration: Dec 9 2009Dec 11 2009

Publication series

Namee-Science 2009 - 5th IEEE International Conference on e-Science

Other

Other5th IEEE International Conference on e-Science, e-Science 2009
Country/TerritoryUnited Kingdom
CityOxford
Period12/9/0912/11/09

All Science Journal Classification (ASJC) codes

  • Arts and Humanities(all)
  • Health Information Management
  • Earth and Planetary Sciences(all)
  • Computer Science(all)

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