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Configuration-level optimization of

RPC-based distributed programs

Tae-Hyung Kim
James M. Purtilo

Computer Science Department and Institute
for Advanced Computer Studies
University of Maryland
College Park, MD 20742


Many strategies for improving performance of distributed programs can be described abstractly in terms of an application's overall configuration. But previously those techniques would need to be implemented manually, and the resulting programs, though yielding good performance, are more expensive to build and much less easy to reuse. This paper describes research towards an automatic system for introducing performance improvement techniques based upon an application's configuration description.

With oversight by Office of Naval Research, this research is supported by ARPA/ISTO in conjunction with the Common Prototyping Language project.