Performance evaluation of adaptive ABR voice over ATM networks, 2001

Item — Call Number: MU Thesis Obe

Identifier: b2194892

Staff Only

Scope and Contents

From the Collection:

The collection consists of theses written by students enrolled in the Monmouth University graduate Computer Science program. The holdings are primarily bound print documents that were submitted in partial fulfillment of requirements for the Master of Science degree.

Dates

Creation: 2001

Creator

Obeidat, Suhaib A. (Author, Person)
Obaidat, Mohammad S. (Mohammad Salameh), 1952- (Thesis advisor, Person)

Conditions Governing Access

The collection is open for research use. Access is by appointment only.

Access to the collection is confined to the Monmouth University Library and is subject to patron policies approved by the Monmouth University Library.

Collection holdings may not be borrowed through interlibrary loan.

Research appointments are scheduled by the Monmouth University Library Archives Collections Manager (723-923-4526). A minimum of three days advance notice is required to arrange a research appointment for access to the collection.

Patrons must complete a Researcher Registration Form and provide appropriate identification to gain access to the collection holdings. Copies of these documents will be kept on file at the Monmouth University Library.

Extent

1 Items (print book) : 95 pages ; 8.5 x 11.0 inches (28 cm).

Language of Materials

English

Additional Description

Abstract

This work investigates and studies the performance of voice quality when sent over the ABR service in ATM networks. Sources can modify the rate at which they send traffic to the network based on the feedback carried by the Resource Management (RM) cells. This is achieved by changing the encoding level. As the contention increases in the network resources, (bandwith in this case), sources start to reduce the rate at which they generate and send traffic. The efficiency of the scheme under different scheduling/drop policies and other operating conditions and environments has been evaluated using simulation modeling. Furthermore, sensitivity analysis was applied to different parameters (e.g. queue size, averaging interval length) to investigate their effect on the performance metrics. Results show that limiting the number of sources to less than 45% of the link capacity results in an acceptable quality.

Partial Contents

1. Introduction -- 2. Literature review -- 3. The ABR voice model and simulation -- 4. Simulation results and discussion -- 5. Conclusions and recommendations -- 6. References -- Appendix A: simulation code.