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Self-stabilizing deadlock detection algorithms
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Proceedings of the 1992 ACM annual conference on Communications table of contents
Kansas City, Missouri, United States
Pages: 117 - 122  
Year of Publication: 1992
ISBN:0-89791-472-4
Authors
Mitchell Flatebo  Department of Computer Science, University of Nevada, Las Vegas, NV
Ajoy Kumar Datta  Department of Computer Science, University of Nevada, Las Vegas, NV
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

A distributed system consists of a set of loosely connected state machines which do not share a global memory. All the possible global states of the system can be split up into legal and illegal states. A self-stabilizing system is a network of processors, which, when started from an arbitrary (and possibly illegal) initial state, always returns to a legal state in a finite number of steps. Self-stabilization has already been applied to some areas of distributed systems such as mutual exclusion, communication protocols, leader election, etc. [3][4]. This paper will present self-stabilizing deadlock detection algorithms, for single and multiple outstanding requests. Self-stabilizing methods for deadlock resolution and prevention are also discussed.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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M. Flatebo and A. Datta, "Self-Stabilizing Leader Election Algorithms," Twenty-ninth Annual Allerton Conference on Communication, Control, and Computing, Urbana, IL, October 2-4, 1991.
 
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M. Flatebo, A. Dattn, and S. Ghosh, "Self- Stabilization in Distributed Systems," Advances in Distributed Computing: Concepts and Design, eds. T.L. Casavant and M. Singhal, IEEE Computer Society Press, 1992.
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Collaborative Colleagues:
Mitchell Flatebo: colleagues
Ajoy Kumar Datta: colleagues