Distributed aggregation/disaggregation algorithms for optimal routing in data networks.

Wei K. Tsai, Garng Morton Huang, John K. Antonio, Wei T. Tsai

Research output: Contribution to journalConference article

6 Citations (Scopus)


A gradient projection algorithm using iterative aggregation and disaggregation is proposd and analyzed for box-constrained minimization problems. In a variation of the distributed computation model, the algorithm is shown to converge. The algorithm is applied to optimal routing in a large interconnected data communication network. The aggregation/disaggregation method proposed results in a multilevel hierarchical clustering of a large network, which fits naturally the hierarchical topological structure of large networks. A numerical simulation of a 52-node network shows that the serial version of the algorithm achieves 35% saving of computation time as compared to a path-formulated gradient projection code developed by D. P. Bertsekas, B. Gendron and W. K. Tsai (1984), which is among the fastest existing programs for path-formulated optimal routing.

Original languageEnglish
Pages (from-to)1799-1804
Number of pages6
JournalProceedings of the American Control Conference
Volume88 pt 1-3
Publication statusPublished - 1 Dec 1988
Externally publishedYes


ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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