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Thesis advisor(s): Xie, Geoffrey

Up till today, the Internet only provides best-effort service, where traffic is processed as quickly as possible, with no guarantee as to timeliness or actual delivery. As the Internet develops into a global commercial infrastructure, demands for guaranteed and differentiated network quality of service (QoS) will increase rapidly. Several QoS service models have been developed to provide and support QOS in the Internet, namely: Integrated Service (IntServ), Differentiated Service (DiffServ) and MultiProtocol Label Switching (MPLS). QoS routing, such as Widest-Shortest Path, Shortest-Widest Path and Shortest-Distance Path, is required in order to support QoS and optimize the network resource utilization. The Server and Agent based Active network Management (SAAM) system is a network management system designed for the next generation Internet. It is capable of supporting all types of service. It will be able to control and optimize the utilization of the network through resource allocation and adaptive QOS routing. This thesis describes a design and implementation of the QoS Management component of a SAAM Server. This component optimizes the utilization of network resources and supports the various service classes in a cohesive manner. It utilizes an adaptive routing strategy to balance the network load.

Up till today, the Internet only provides best-effort service, where traffic is processed as quickly as possible, with no guarantee as to timeliness or actual delivery. As the Internet develops into a global commercial infrastructure, demands for guaranteed and differentiated network quality of service (QoS) will increase rapidly. Several QoS service models have been developed to provide and support QOS in the Internet, namely: Integrated Service (IntServ), Differentiated Service (DiffServ) and MultiProtocol Label Switching (MPLS). QoS routing, such as Widest-Shortest Path, Shortest-Widest Path and Shortest-Distance Path, is required in order to support QoS and optimize the network resource utilization. The Server and Agent based Active network Management (SAAM) system is a network management system designed for the next generation Internet. It is capable of supporting all types of service. It will be able to control and optimize the utilization of the network through resource allocation and adaptive QOS routing. This thesis describes a design and implementation of the QoS Management component of a SAAM Server. This component optimizes the utilization of network resources and supports the various service classes in a cohesive manner. It utilizes an adaptive routing strategy to balance the network load

Up till today, the Internet only provides best-effort service, where traffic is processed as quickly as possible, with no guarantee as to timeliness or actual delivery. As the Internet develops into a global commercial infrastructure, demands for guaranteed and differentiated network quality of service (QoS) will increase rapidly. Several QoS service models have been developed to provide and support QOS in the Internet, namely: Integrated Service (IntServ), Differentiated Service (DiffServ) and MultiProtocol Label Switching (MPLS). QoS routing, such as Widest-Shortest Path, Shortest-Widest Path and Shortest-Distance Path, is required in order to support QoS and optimize the network resource utilization. The Server and Agent based Active network Management (SAAM) system is a network management system designed for the next generation Internet. It is capable of supporting all types of service. It will be able to control and optimize the utilization of the network through resource allocation and adaptive QOS routing. This thesis describes a design and implementation of the QoS Management component of a SAAM Server. This component optimizes the utilization of network resources and supports the various service classes in a cohesive manner. It utilizes an adaptive routing strategy to balance the network load