Better approximating SONET k-edge partition for small capacity k
Junhui Ye (),
Huihuang Jiang (),
Guangting Chen (),
Yong Chen (),
Guohui Lin () and
An Zhang ()
Additional contact information
Junhui Ye: Hangzhou Dianzi University
Huihuang Jiang: Hangzhou Dianzi University
Guangting Chen: Zhejiang University of Water Resources and Electric Power
Yong Chen: Hangzhou Dianzi University
Guohui Lin: University of Alberta
An Zhang: Hangzhou Dianzi University
Journal of Combinatorial Optimization, 2025, vol. 49, issue 4, No 13, 24 pages
Abstract:
Abstract We study the SONET edge partition problem that models telecommunication network design to partition the edge set of a given graph into several edge-disjoint subgraphs, such that each subgraph has size no greater than a given capacity k and the sum of the orders of these subgraphs is minimized. The problem is NP-hard when $$k \ge 3$$ k ≥ 3 and admits an $$O(\log k)$$ O ( log k ) -approximation algorithm. For small capacity $$k = 3, 4, 5$$ k = 3 , 4 , 5 , by observing that some subgraph structures are more favorable than the others, we propose modifications to existing algorithms and design novel amortization schemes to prove their improved performance. Our algorithmic results include a $$\frac{4}{3}$$ 4 3 -approximation for $$k = 3$$ k = 3 , improving the previous best $$\frac{13}{9}$$ 13 9 -approximation, a $$\frac{4}{3}$$ 4 3 -approximation for $$k = 4$$ k = 4 , improving the previous best $$(\frac{4}{3} + \epsilon )$$ ( 4 3 + ϵ ) -approximation, and a $$\frac{3}{2}$$ 3 2 -approximation for $$k = 5$$ k = 5 , improving the previous best $$\frac{5}{3}$$ 5 3 -approximation. Besides these improved algorithms, our main contribution is the amortization scheme design, which can be helpful for similar algorithms and problems.
Keywords: Edge partition; Synchronous optical networking; Greedy; Amortized analysis; Approximation algorithm. (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10878-025-01308-0
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