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Content Provider | IEEE Xplore Digital Library |
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Author | Ghosh, S. Gupta, A. Pemmaraju, S.V. |
Copyright Year | 1995 |
Description | Author affiliation: Dept. of Comput. Sci., Iowa Univ., Iowa City, IA, USA (Ghosh, S.; Gupta, A.; Pemmaraju, S.V.) |
Abstract | The maximum flow problem is a fundamental problem in graph theory and combinatorial optimization with a variety of important applications. Known distributed algorithms for this problem do not tolerate faults or adjust to dynamic changes in network topology. This paper presents the first distributed self-stabilizing algorithm for the maximum flow problem. Starting from an arbitrary state, the algorithm computes the maximum flow in a acyclic network in finitely many steps. Since the algorithm is self-stabilizing, it is inherently tolerant to transient faults and can automatically adjust to topology changes and to changes in other parameters of the problem. A slight modification of the original algorithm is also presented and it is conjectured that the new algorithm computes a maximum flow in arbitrary networks.< |
Starting Page | 8 |
Ending Page | 14 |
File Size | 774656 |
Page Count | 7 |
File Format | |
ISBN | 0780324927 |
DOI | 10.1109/PCCC.1995.472519 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 1995-03-28 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Network topology Graph theory Computer networks Distributed algorithms Computer science Cities and towns Application software Fault tolerance Computational modeling |
Content Type | Text |
Resource Type | Article |
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