The New Jersey Institute of Technology's
Electronic Theses & Dissertations Project

Title:	An efficient guaranteed bandwidth and balancing mechanism for high speed MANs
Author:	Hadjisavvas, Venediktos
View Online:	njit-etd1993-089 (vii, 70 pages ~ 2.5 MB pdf)
Department:	Department of Electrical and Computer Engineering
Degree:	Master of Science
Program:	Electrical Engineering
Document Type:	Thesis
Advisory Committee:	Karvelas, Dionissios (Committee chair) Robbi, Anthony D. (Committee member) Ziavras, Sotirios (Committee member)
Date:	1993-10
Keywords:	Metropolitan area networks (Computer networks) -- Analysis Computer network protocols Network analysis (Planning)
Availability:	Unrestricted
Abstract:	The Distributed Queue Dual Bus (DQDB) has become the IEEE 802.6 stan-dard for Metropolitan Area Networks (MANs). The main advantage of DQDB is that its throughput performance is not affected by the network parameters such as size, number of connected stations, or channel bandwidth. Its main drawback is that the location of the stations on the bus strongly affects their performance. For this reason a Bandwidth Balancing Mechanism (BBM_DQDB) has been proposed and included in the 802.6 standard that can provide the requested bandwidth by the lightly loaded stations and evenly distribute the remaining bandwidth among the overloaded stations. The guaranteed bandwidth required by some applications has also motivated the recent introduction of another mechanism, the Guaranteed Bandwidth (GBW_DQDB) mechanism, that can guarantee the required level of throughput to certain high priority stations. In this thesis we first discuss the main advantages and disadvantages of BBM_DQDB and GBW_DQDB and then we introduce a new mechanism, the Guaranteed Bandwidth and Balancing Mechanism (GBBM), that combines the advantages of the previous two mechanisms and can significantly improve the throughput and delay performance of the stations. We provide a detailed description of the new mechanism and we investigate its performance through simulation results. Furthermore, we compare its performance with the corresponding performance of BBM_DQDB and GBW_DQDB.