A Middleware Framework for Maximum Likelihood Evaluation over Dynamic Grids

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.

• Type: Conference
• Year: 2006
• Where: ESCIENCE
• Authors: Wei-Jen Wang, Kaoutar El Maghraoui, John Cummings, Jim Napolitano, Boleslaw K. Szymanski, Carlos A. Varela
• Keywords: ESCIENCE 2006, Internet-wide Runtime Infrastructures, Maximum Likelihood, Maximum Likelihood Evaluation