Title :
Intelligent performance management of networks for advanced manufacturing systems
Author :
Lee, Suk ; Lee, Sang Ho ; Lee, Kyung Chang ; Lee, Man Hyung ; Harashima, Fumio
Author_Institution :
Sch. of Mech. Eng., Pusan Nat. Univ., South Korea
fDate :
8/1/2001 12:00:00 AM
Abstract :
This paper focuses on performance management of communication networks serving various manufacturing systems. The performance management aims to improve the network performance in handling various types of messages by online adjustment of protocol parameters such as timers and queue capacities. The principles of fuzzy logic, genetic algorithms, and neural networks have been combined in formulating the performance management rules and fine-tuning the manager. In order to demonstrate the efficacy of this approach, a performance management procedure developed for the IEEE 802.4 protocol standard has been evaluated via discrete-event simulation
Keywords :
computer integrated manufacturing; computer network management; control system analysis computing; discrete event simulation; fuzzy logic; genetic algorithms; neural nets; protocols; token networks; IEEE 802.4 protocol standard; advanced manufacturing systems; communication networks; discrete-event simulation; fine-tuning; fuzzy logic; genetic algorithms; intelligent performance management; message handling; neural networks; performance management rules; protocol parameters; queue capacities; timers; Communication networks; Computer integrated manufacturing; Computer network management; Fuzzy logic; Genetic algorithms; Intelligent networks; Manufacturing systems; Neural networks; Protocols; Robots;
Journal_Title :
Industrial Electronics, IEEE Transactions on
