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

Volume

1

fYear

2001

fDate

2001

Firstpage

481

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 2001. Canadian Conference on

Conference_Location

Toronto, Ont.

ISSN

0840-7789

Print_ISBN

0-7803-6715-4

Type

conf

DOI

10.1109/CCECE.2001.933731

Filename

933731