Heavy traffic multiplexing behavior of highly-bursty heterogeneous sources and their admission control in high-speed networks

2003 ◽  
Author(s):  
K. Sohraby
Keyword(s):  
Admission Control ◽  
High Speed ◽  
Heavy Traffic ◽  
High Speed Networks ◽  
Traffic Multiplexing

Efficient Intrusion Detection for High-Speed Networks

2012 ◽  
Vol 263-266 ◽  
pp. 2915-2919
Author(s):  
Gao Long Ma ◽  
Wen Tang
Keyword(s):  
Intrusion Detection ◽  
Error Detection ◽  
Intrusion Detection System ◽  
High Speed ◽  
Detection System ◽  
Heavy Traffic ◽  
High Speed Networks ◽  
Network Intrusion ◽  
Traffic Loads ◽  
Rule Sets

With the great increasing of high-speed networks,the traditional network intrusion detection system(NIDS) has a serious problem with handling heavy traffic loads in real-time ,which may result in packets loss and error detection . In this paper we will introduce the efficient load balancing scheme into NIDS and improve rule sets of the detection engine so as to make NIDS more suitable to high-speed networks environment.

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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