TY - JOUR
T1 - Fast data transmission and maximal dynamic flow
AU - Xue, Guoliang
AU - Sun, Shangzhi
AU - Rosen, J. Ben
N1 - Funding Information:
* Corresponding author. Email: xue@cs.uvm.edu. The research of this author was supported in part by the US Army Research Office grant DAAHO4-96-l-0233 and by the National Science Foundation grants ASC-9409285 and OSR-9350540. ’ Email: ssun@synopsys.com. * Email: rosen@cs.umn.edu.
PY - 1998/5/15
Y1 - 1998/5/15
N2 - Let N = (V, A, c, l) be a network with node set V, arc set A, non-negative arc capacity function c and non-negative arc delay function l. We are interested in the fastest way to transmit f amount of data from a designated source node s ∈ V to a designated destination node d ∈ V. When the transmission is restricted to a single path, the problem is called the quickest path problem which has been well studied in the past few years and many efficient algorithms are known. When the transmission is not restricted to a single path, the problem is called the quickest flow problem or the minimum transmission time problem in the literature. Since data transmission is not restricted to a single path in the minimum transmission time problem, the problem was believed to be harder. In (Kagaris et al., 1995), it was proved that the minimum transmission time problem with integer capacities and real delays is NP-hard. In this paper, we show that the minimum transmission time problem with integer capacities and integer delays is equivalent to the maximal dynamic flow problem studied by Ford and Fulkerson in 1962 and therefore can be solved efficiently by their path decomposition algorithm.
AB - Let N = (V, A, c, l) be a network with node set V, arc set A, non-negative arc capacity function c and non-negative arc delay function l. We are interested in the fastest way to transmit f amount of data from a designated source node s ∈ V to a designated destination node d ∈ V. When the transmission is restricted to a single path, the problem is called the quickest path problem which has been well studied in the past few years and many efficient algorithms are known. When the transmission is not restricted to a single path, the problem is called the quickest flow problem or the minimum transmission time problem in the literature. Since data transmission is not restricted to a single path in the minimum transmission time problem, the problem was believed to be harder. In (Kagaris et al., 1995), it was proved that the minimum transmission time problem with integer capacities and real delays is NP-hard. In this paper, we show that the minimum transmission time problem with integer capacities and integer delays is equivalent to the maximal dynamic flow problem studied by Ford and Fulkerson in 1962 and therefore can be solved efficiently by their path decomposition algorithm.
KW - Algorithms
KW - Communication networks
KW - Maximal dynamic flows
KW - Minimum transmission time
KW - Quickest paths
KW - Shortest paths
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U2 - 10.1016/s0020-0190(98)00047-7
DO - 10.1016/s0020-0190(98)00047-7
M3 - Article
AN - SCOPUS:0012360066
SN - 0020-0190
VL - 66
SP - 127
EP - 132
JO - Information Processing Letters
JF - Information Processing Letters
IS - 3
ER -