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Stronger Reduction Criteria for Local First Search.

Authors :
Barkaoui, Kamel
Cavalcanti, Ana
Cerone, Antonio
Kurbán, Marcos E.
Niebert, Peter
Qu, Hongyang
Vogler, Walter
Source :
Theoretical Aspects of Computing - ICTAC 2006; 2006, p108-122, 15p
Publication Year :
2006

Abstract

Local First Search (LFS) is a partial order technique for reducing the number of states to be explored when trying to decide reachability of a local (component) property in a parallel system; it is based on an analysis of the structure of the partial orders of executions in such systems. Intuitively, LFS is based on a criterion that allows to guide the search for such local properties by limiting the "concurrent progress" of components. In this paper, we elaborate the analysis of the partial orders in question and obtain related but significantly stronger criteria for reductions, show their relation to the previously established criterion, and discuss the algorithmics of the proposed improvement. Our contribution is both fundamental in providing better insights into LFS and practical in providing an improvement of high potential, as is illustrated by experimental results. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540488156
Database :
Complementary Index
Journal :
Theoretical Aspects of Computing - ICTAC 2006
Publication Type :
Book
Accession number :
32910831
Full Text :
https://doi.org/10.1007/11921240_8