Title
Studies on distributed algorithm for network flow optimization problem based on tie-set flow vector space
Abstract
Information networks have progressed rapidly toward large and complicated systems, and the amount of the information flowing through the networks is also increasing dramatically. Under these circumstances, it is important to establish distributed network management which utilizes network resources effectively. This paper presents a new approach to network optimization problems based on the theory of tie-set graph and tie-set flow vector space. A new distributed algorithm for network optimization is proposed, where local optimization on each tie-set leads to the global optimization of the network, autonomously. The proposed distributed algorithm can be applied to various network optimization problems.
Year
DOI
Venue
2004
10.1109/ISCAS.2004.1329049
Circuits and Systems, 2004. ISCAS '04. Proceedings of the 2004 International Symposium
Keywords
Field
DocType
circuit optimisation,distributed algorithms,graph theory,set theory,vectors,distributed algorithm,distributed network management,global optimization,information network,local optimization,network flow optimization,network optimization,network resources,tie-set flow vector space,tie-set graph theory
Flow network,Mathematical optimization,Global optimization,Computer science,Meta-optimization,Network simulation,Brooks–Iyengar algorithm,Multi-swarm optimization,Optimization problem,Minimum-cost flow problem,Distributed computing
Conference
Volume
ISBN
Citations 
4
0-7803-8251-X
0
PageRank 
References 
Authors
0.34
1
3
Name
Order
Citations
PageRank
Yuki Shibata142.58
Haruki Kubo2162.32
Hitoshi Watanabe3244.87