Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/15858
Title: An adaptive framework for end-to-end quality of service management
Authors: ZHOU LIFENG
Keywords: QoS, semantic, ontology, traffic classification, end-to-end coordination
Issue Date: 19-May-2009
Source: ZHOU LIFENG (2009-05-19). An adaptive framework for end-to-end quality of service management. ScholarBank@NUS Repository.
Abstract: High-speed networks and powerful end-hosts enable new types of Quality of Service (QoS) sensitive applications such as Video-On-Demand (VOD) to be offered. These multimedia networking applications are sensitive to QoS parameters such as bandwidth, delay and jitter. To provide QoS to end-users and applications, researchers have spent much effort in finding suitable QoS provisioning mechanisms in areas such as QoS middleware, applications and network. We find the approaches of most of these works have not been adquate enough to address end-to-end QoS, wherein each focusing on a different aspect of QoS provisioning. We argue that a coordinated approach to the overall end-to-end QoS provisioning, integrating QoS mechanisms in the applications, middleware and networks are essential. A QoS coordination and mangemant framework (QCMF) is thus proposed and designed. We first create abstract QoS models for the representation of meta-data and management of interaction among different QoS components. Subsequently a QCMF framework is established for implementation of QoS states monitoring, signaling and feedback, together with algorithms and heuristics for distributed decision-making. Performance evaluation results of the prototype show that QCMF works effectively in many aspects of end-to-end QoS management such as control signaling, knowledge processing, violation detection and coordinated adaptation.
URI: http://scholarbank.nus.edu.sg/handle/10635/15858
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