DocumentCode :
2297541
Title :
Detection of summative global predicates
Author :
Chen, L.B. ; Wu, I.C.
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fYear :
1997
fDate :
10-13 Dec 1997
Firstpage :
466
Lastpage :
473
Abstract :
In distributed programs, we usually keep some global predicates from being satisfied to make it easy to run the programs correctly. A common type of global predicates are: the total number of certain tokens in the whole distributed system is always the same or in specific ranges. In this paper, we call this summative predicates, classified into the following four: (1) at some global state of the system, N≠K, (2) N<K (or N⩽K), (3) N>K (or N⩾K), and (4) N=K, where N is the total number of tokens and K is a constant. This paper investigates the methods of detecting various summative global predicates. The first class of summative predicates are trivial to detect by simply checking each message. For the second class of summative predicates, B. Groselj (1993) and V.K. Garg (1995) solved the problem by reducing the problem to a maximum network flow problem. In this paper, we propose an elegant technique, called normalization, to allow the second and third classes of summative predicates to be solved by also reducing the problem to a maximum network flow problem. For the fourth class of summative predicates, we prove that it is an NP-complete problem
Keywords :
computational complexity; error detection; parallel programming; program debugging; NP-complete problem; distributed programs; normalization; summative global predicates detection; summative predicates; Computer science; Debugging; Load management; NP-complete problem; Programming profession;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Systems, 1997. Proceedings., 1997 International Conference on
Conference_Location :
Seoul
Print_ISBN :
0-8186-8227-2
Type :
conf
DOI :
10.1109/ICPADS.1997.652588
Filename :
652588
Link To Document :
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