TY - JOUR
T1 - Performance Management of Multiple Access Communication Networks
AU - Lee, Suk
AU - Ray, Asok
N1 - Funding Information:
Manuscript received May 29, 1992; revised February 18, 1993. This work was supported in part by the National Science Foundation under Research Grant DDM-90-15 173. S. Lee is with the Department of Mechanical, Industrial, and Nuclear Engineering, University of Cincinnati, Cincinnati, OH 45221. A. Ray is with the Department of Mechanical Engineering, The Pennsylvania State University, University Park, PA 16802. IEEE Log Number 9212160.
PY - 1993/12
Y1 - 1993/12
N2 - -This paper focuses on conceptual design, development, and implementation of a performance management tool for computer communication networks to serve large-scale integrated systems. The objective is to improve the network performance in handling various types of messages by on-line adjustment of protocol parameters. The techniques of perturbation analysis of Discrete Event Dynamic Systems (DEDS), stochastic approximation (SA), and learning automata have been used in formulating the algorithm of performance management. The efficacy of the performance management tool has been demonstrated on a network testbed. The conceptual design presented in this paper offers a step forward to bridging the gap between management standards and users’ demands for efficient network operations since most standards such as ISO (International Standards Organization) and IEEE address only the architecture, services, and interfaces for network management. The proposed concept for performance management can also be used as a general framework to assist design, operation, and management of various DEDS such as computer integrated manufacturing and battlefield C3 (Command, Control, and Communications).
AB - -This paper focuses on conceptual design, development, and implementation of a performance management tool for computer communication networks to serve large-scale integrated systems. The objective is to improve the network performance in handling various types of messages by on-line adjustment of protocol parameters. The techniques of perturbation analysis of Discrete Event Dynamic Systems (DEDS), stochastic approximation (SA), and learning automata have been used in formulating the algorithm of performance management. The efficacy of the performance management tool has been demonstrated on a network testbed. The conceptual design presented in this paper offers a step forward to bridging the gap between management standards and users’ demands for efficient network operations since most standards such as ISO (International Standards Organization) and IEEE address only the architecture, services, and interfaces for network management. The proposed concept for performance management can also be used as a general framework to assist design, operation, and management of various DEDS such as computer integrated manufacturing and battlefield C3 (Command, Control, and Communications).
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U2 - 10.1109/49.257934
DO - 10.1109/49.257934
M3 - Article
AN - SCOPUS:0027845344
SN - 0733-8716
VL - 11
SP - 1426
EP - 1437
JO - IEEE Journal on Selected Areas in Communications
JF - IEEE Journal on Selected Areas in Communications
IS - 9
ER -