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Efficient Algorithms for Minimum Congestion Hypergraph Embedding in a Cycle
March 2006 (vol. 17 no. 3)
pp. 205-214
ASCII Text
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Qian-Ping Gu, Yong Wang, "Efficient Algorithms for Minimum Congestion Hypergraph Embedding in a Cycle," IEEE Transactions on Parallel and Distributed Systems, vol. 17, no. 3, pp. 205-214, March, 2006.
 
 
BibTex
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@article{ 10.1109/TPDS.2006.34,
author = {Qian-Ping Gu and Yong Wang},
title = {Efficient Algorithms for Minimum Congestion Hypergraph Embedding in a Cycle},
journal ={IEEE Transactions on Parallel and Distributed Systems},
volume = {17},
number = {3},
issn = {1045-9219},
year = {2006},
pages = {205-214},
doi = {http://doi.ieeecomputersociety.org/10.1109/TPDS.2006.34},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Parallel and Distributed Systems
TI - Efficient Algorithms for Minimum Congestion Hypergraph Embedding in a Cycle
IS - 3
SN - 1045-9219
SP205
EP214
EPD - 205-214
A1 - Qian-Ping Gu,
A1 - Yong Wang,
PY - 2006
KW - Hypergraph embedding
KW - approximation algorithms
KW - communication on rings
KW - edge congestion minimization.
VL - 17
JA - IEEE Transactions on Parallel and Distributed Systems
ER -
 
Yong Wang, IEEE

Abstract—The Minimum Congestion Hypergraph Embedding in a Cycle (MCHEC) problem is to embed the hyperedges of a hypergraph as paths in a cycle with the same node set such that the maximum congestion (the maximum number of paths that use any single edge in the cycle) is minimized. The MCHEC problem has many applications, including optimizing communication congestions in computer networks and parallel computing. The problem is NP-hard. In this paper, we give a 1.8-approximation algorithm for the MCHEC problem. This improves the previous 2-approximation results. Our algorithm has the optimal time complexity O(mn) for a hypergraph with m hyperedges and n nodes. We also propose an algorithm which finds an embedding with the optimal congestion L^* for the MCHEC problem in O(n(nL^{*})^{L^{*}}) time. This improves the previous O((mn)^{L^{*}+1}) time algorithm.

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Index Terms:
Hypergraph embedding, approximation algorithms, communication on rings, edge congestion minimization.
Citation:
Qian-Ping Gu, Yong Wang, "Efficient Algorithms for Minimum Congestion Hypergraph Embedding in a Cycle," IEEE Transactions on Parallel and Distributed Systems, vol. 17, no. 3, pp. 205-214, March 2006, doi:10.1109/TPDS.2006.34
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