Parallel optimal routing control by commodities for large data networks

Research output: Contribution to journalConference article

Abstract

In this paper, a new distributed algorithm is proposed to solve optimal routing problems (ORPs) for large data network with multicommodities. Contrast to the existing algorithms for general network topology, which have parallel time complexity of O (MΦ2) assuming that all the nodes of the network have a processor, our algorithm takes O (mΦ2) time units using the same number of processors if some mild network conditions are met. Here, Φ is the diameter of the network; M is the number of commodities; m is a positive number usually much smaller than M. The exact value of m depends on the pattern of the OD pairs including the locations of origin nodes and destination nodes, and the flow demand of OD pairs. The implementation of the algorithm for a 200-node network is simulated using OPNET simulation tool and the results show that our algorithm is much faster than the general algorithms.

Original languageEnglish
Pages (from-to)2097-2098
Number of pages2
JournalProceedings of the IEEE Conference on Decision and Control
Volume3
Publication statusPublished - 1 Dec 1994
Externally publishedYes

Fingerprint

Large Data
Routing
Vertex of a graph
OPNET
Routing Problem
Distributed Algorithms
Simulation Tool
Parallel algorithms
Network Topology
Time Complexity
Topology
Unit

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modelling and Simulation
  • Control and Optimization

Cite this

Parallel optimal routing control by commodities for large data networks. / Huang, Garng Morton; Zhu, Shan.

In: Proceedings of the IEEE Conference on Decision and Control, Vol. 3, 01.12.1994, p. 2097-2098.

Research output: Contribution to journalConference article

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