Title :
Performance analysis of CAR: centralized adaptive reservation
Author :
Chan, Henry C B ; Li, Victor O. K. ; Leung, Victor C M
Author_Institution :
Dept. of Comput., Hong Kong Polytech. Univ., Hung Hom, China
Abstract :
A centralized adaptive reservation (CAR) protocol has been proposed by Chan and Leung (see Proc. IEEE CCEC´00, Halifax, NS, 2000) for supporting constant bit rate (CBR). Variable bit rate (VBR) and unspecified bit rate (UBR) services in a star-configured network. This protocol has two main features. First, both the access probability and the bandwidth for reservation requests are varied dynamically to enhance efficiency. Second, by using a request-mini-slot method, UBR traffic can only utilize the residual bandwidth of the other traffic. We derive a Markov chain model for analyzing the performance of the CAR protocol by means of a bi-state traffic source. The focus is to analyze the performance of the VBR stations when both the access probability and the bandwidth for reservation requests are changed dynamically
Keywords :
Markov processes; access protocols; adaptive systems; network topology; probability; telecommunication services; telecommunication traffic; time division multiplexing; CAR protocol; CBR services; Markov chain model; TDM; UBR services; UBR traffic; VBR services; VBR stations; access probability; bi-state traffic source; centralized adaptive reservation protocol; constant bit rate; dynamic bandwidth reservation; performance analysis; request-mini-slot method; residual bandwidth; star topology; star-configured communication networks; time-division multiplexing system; unspecified bit rate; variable bit rate; Access protocols; Bandwidth; Bit rate; Communication networks; Communication system traffic control; Computer networks; Network topology; Performance analysis; Telecommunication traffic; Traffic control;
Conference_Titel :
Electrical and Computer Engineering, 2001. Canadian Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-6715-4
DOI :
10.1109/CCECE.2001.933731
