| Degree-constrained network flows |
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Annual ACM Symposium on Theory of Computing
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Proceedings of the thirty-ninth annual ACM symposium on Theory of computing
table of contents
San Diego, California, USA
SESSION: Session 13A
table of contents
Pages: 681 - 688
Year of Publication: 2007
ISBN:978-1-59593-631-8
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Authors
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P. Donovan
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McGill University, Montreal, PQ, Canada
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B. Shepherd
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McGill University, Montreal, PQ, Canada
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A. Vetta
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McGill University, Montreal, PQ, Canada
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G. Wilfong
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Bell Labs, Murray Hill, NJ
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Downloads (6 Weeks): 6, Downloads (12 Months): 67, Citation Count: 0
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ABSTRACT
A d-furcated flow is a network flow whose support graph has maximum out degree d. Take a single-sink multi-commodity flow problem on any network and with any set of routing demands. Then we show that the existence of feasible fractional flow with node congestion one implies the existence of a d-furcated flow with congestion at most 1+1/(d-1), for d ≥ 2. This result is tight, and sothe congestion gap for d-furcated flows is bounded andexactly equal to 1+ 1/(d-1). For the case d=1 (confluent flows), it is known that the congestion gap is unbounded, namely Θ(log n). Thus, allowing single-sink multicommodity network flows to increase their maximum out degree from one to two virtually eliminates this previously observed congestion gap. As a corollary we obtain a factor 1 + 1/(d-1)-approximation algorithm for the problem of finding a minimum congestion d-furcated flow; we also prove that this problem is max SNP-hard. Using known techniques these results also extend to degree-constrained unsplittable routing,where each individual demand must be routed along a unique path.
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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