R.O. Fantao, "A Concurrent Algorithm for Avoiding Deadlocks in Multiprocess Multiple Resource Systems," Proc. of the Third ACM Symposium on Operating Systems Principles Oct., 1971.

Digital Library

Google Scholar

[6]

K.M. Chandy and J. Misra, "A Distributed Algorithm for Detecting Resource Deadlocks in Distributed Systems," ACM Symposium on Principles of Distributed Computing, Ottawa, Canada, August 1982.

Digital Library

Google Scholar

[7]

M. Milenkovic, "Operating Systems: concepts and Design, "McGraw-Hill Book Company, 1987.

Digital Library

Google Scholar

[8]

E. W. Dijkstra, "Guarded Commands, Nondeterminancy, and Formal Derivation of Programs," Communication of the ACM Vol.18, No.8, August 1975.

Digital Library

Google Scholar

[9]

R. E. Filman and D. P. Friedman, "Coordinated Computing: Tools and Techniques for Distributed Software, "McGraw-Hill Book Company, 1984.

Digital Library

Google Scholar

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Published In

CSC '91: Proceedings of the 19th annual conference on Computer Science

April 1991

711 pages

ISBN:0897913825

DOI:10.1145/327164

Chairmen:
C. Jinshong (C. J.) Hwang
Southwest Texas State Univ., San Marcos
,
Richard Brice
MCC

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 01 April 1991

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