A middleware framework for maximum likelihood evaluation over dynamic grids

Wei Jen Wang, Kaoutar El Maghraoui, Boleslaw K. Szymanski, John Cummings, Carlos A. Varela, Jim Napolitano

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

We have designed a maximum likelihood fitter using the actor model to distribute the computation over a heterogeneous network. The prototype implementation uses the SALSA programming language and the Internet Operating System middleware. We have used our fitter to perform a partial wave analysis of particle physics data. Preliminary measurements have shown good performance and scalability. We expect our approach to be applicable to other scientific domains, such as biology and astronomy, where maximum likelihood evaluation is an important technique. We also expect our performance results to scale to Internet-wide run-time infrastructures, given the high adaptability of our software framework.

Original languageEnglish
Title of host publicatione-Science 2006 - Second IEEE International Conference on e-Science and Grid Computing
DOIs
StatePublished - 2006
Evente-Science 2006 - 2nd IEEE International Conference on e-Science and Grid Computing - Amsterdam, Netherlands
Duration: 4 Dec 20066 Dec 2006

Publication series

Namee-Science 2006 - Second IEEE International Conference on e-Science and Grid Computing

Conference

Conferencee-Science 2006 - 2nd IEEE International Conference on e-Science and Grid Computing
Country/TerritoryNetherlands
CityAmsterdam
Period4/12/066/12/06

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