Quantitative Program Logic and Eeciency in Probabilistic Distributed Algorithms

نویسنده

  • A K Mciver
چکیده

In this paper we show how quantitative program logic 13] provides a formal framework in which to promote standard techniques of program analysis to a context where probability and nondeterminism interact, a situation common to probabilistic distributed algorithms. We show that overall performance can be formulated directly in the logic and that it can be derived from local properties of components. We illustrate the methods with an analysis of performance of the prob-abilistic dining philosophers 10].

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تاریخ انتشار 1998