Title page for ETD etd-0510100-143929

Document Type thesis

Author Name Kannan, Gangadharan

Email Address ganga at cs.wpi.edu

URN etd-0510100-143929

Title Selective Flooding for Better QoS Routing

Degree MS

Department Computer Science

Advisors
Mark Claypool, Advisor
David Finkel, Reader

Keywords
High-speed Networks
Selective Flooding
QoS Routing

Date of Presentation/Defense 2000-04-10

Availability unrestricted

Abstract
Quality-of-service (QoS) requirements for the timely delivery of real-time multimedia raise new challenges for the networking world. A key component of QoS is QoS routing which allows the selection of network routes with sufficient resources for requested QoS parameters. Several techniques have been proposed in the literature to compute QoS routes, most of which require dynamic update of link-state information across the Internet. Given the growing size of the Internet, it is becoming increasingly difficult to gather up-to-date state information in a dynamic environment. We propose a new technique to compute QoS routes on the Internet in a fast and efficient manner without any need for dynamic updates. Our method, known as Selective Flooding, checks the state of the links on a set of pre-computed routes from the source to the destination in parallel and based on this information computes the best route and then reserves resources. We implemented Selective Flooding on a QoS routing simulator and evaluated the performance of Selective Flooding compared to source routing for a variety of network parameters. We find Selective Flooding consistently outperforms source routing in terms of call-blocking rate and outperforms source routing in terms of network overhead for some network conditions. The contributions of this thesis include the design of a new QoS routing algorithm, Selective Flooding, extensive evaluation of Selective Flooding under a variety of network conditions and a working simulation model for future research.

Files
kannan.pdf

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Document Type	thesis
Author Name	Kannan, Gangadharan
Email Address	ganga at cs.wpi.edu
URN	etd-0510100-143929
Title	Selective Flooding for Better QoS Routing
Degree	MS
Department	Computer Science
Advisors	Mark Claypool, Advisor David Finkel, Reader
Keywords	High-speed Networks Selective Flooding QoS Routing
Date of Presentation/Defense	2000-04-10
Availability	unrestricted
Abstract Quality-of-service (QoS) requirements for the timely delivery of real-time multimedia raise new challenges for the networking world. A key component of QoS is QoS routing which allows the selection of network routes with sufficient resources for requested QoS parameters. Several techniques have been proposed in the literature to compute QoS routes, most of which require dynamic update of link-state information across the Internet. Given the growing size of the Internet, it is becoming increasingly difficult to gather up-to-date state information in a dynamic environment. We propose a new technique to compute QoS routes on the Internet in a fast and efficient manner without any need for dynamic updates. Our method, known as Selective Flooding, checks the state of the links on a set of pre-computed routes from the source to the destination in parallel and based on this information computes the best route and then reserves resources. We implemented Selective Flooding on a QoS routing simulator and evaluated the performance of Selective Flooding compared to source routing for a variety of network parameters. We find Selective Flooding consistently outperforms source routing in terms of call-blocking rate and outperforms source routing in terms of network overhead for some network conditions. The contributions of this thesis include the design of a new QoS routing algorithm, Selective Flooding, extensive evaluation of Selective Flooding under a variety of network conditions and a working simulation model for future research.
Files	kannan.pdf