Effective bandwidth of general Markovian traffic sources and admission control of high speed networks

1993 ◽  
Vol 1 (3) ◽  
pp. 329-343 ◽  
Author(s):  
A.I. Elwalid ◽  
D. Mitra
Keyword(s):  
Admission Control ◽  
High Speed ◽  
Effective Bandwidth ◽  
High Speed Networks

Novel Neutral Network Approach to Call Admission Control in High-speed Networks

2003 ◽  
Vol 13 (04) ◽  
pp. 251-262 ◽  
Author(s):  
Supeng Leng ◽  
K. R. Subramanian ◽  
N. Sundararajan ◽  
P. Saratchandran
Keyword(s):  
Admission Control ◽  
Bandwidth Allocation ◽  
High Speed ◽  
Call Admission Control ◽  
Design Procedure ◽  
Computational Time ◽  
Accurate Estimation ◽  
Network Approach ◽  
Call Admission ◽  
High Speed Networks

This paper presents a novel Call Admission Control (CAC) scheme which adopts the neural network approach, namely Minimal Resource Allocation Network (MRAN) and its extended version EMRAN. Though the current focus is on the Call Admission Control (CAC) for Asynchronous Transfer Mode (ATM) networks, the scheme is applicable to most high-speed networks. As there is a need for accurate estimation of the required bandwidth for different services, the proposed scheme can offer a simple design procedure and provide a better control in fulfilling the Quality of Service (QoS) requirements. MRAN and EMRAN are on-line learning algorithms to facilitate efficient admission control in different traffic environments. Simulation results show that the proposed CAC schemes are more efficient than the two conventional CAC approaches, the Peak Bandwidth Allocation scheme and the Cell Loss Ratio (CLR) upperbound formula scheme. The prediction precision and computational time of MRAN and EMRAN algorithms are also investigated. Both MRAN and EMRAN algorithms yield similar performance results, but the EMRAN algorithm has less computational load.

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