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Second IEEE International Conference on e-Science and Grid Computing (e-Science'06)
A Middleware Framework for Maximum Likelihood Evaluation over Dynamic Grids
Amsterdam, Netherlands
December 04-December 06
ISBN: 0-7695-2734-5
Wei-Jen Wang, Rensselaer Polytechnic Institute, USA
Kaoutar El Maghraoui, Rensselaer Polytechnic Institute, USA
John Cummings, Rensselaer Polytechnic Institute, USA
Jim Napolitano, Rensselaer Polytechnic Institute, USA
Boleslaw K. Szymanski, Rensselaer Polytechnic Institute, USA
Carlos A. Varela, Rensselaer Polytechnic Institute, USA
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 runtime infrastructures, given the high adaptability of our software framework.
Citation:
Wei-Jen Wang, Kaoutar El Maghraoui, John Cummings, Jim Napolitano, Boleslaw K. Szymanski, Carlos A. Varela, "A Middleware Framework for Maximum Likelihood Evaluation over Dynamic Grids," e-science, pp.105, Second IEEE International Conference on e-Science and Grid Computing (e-Science'06), 2006
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