Supporting diverse applications with various Quality-of-Service guarantees in ATM-based broadband networks requires the design of a proper bandwidth control mechanism at the switch nodes. We proposed in this work a new adaptive approach to the bandwidth control and developed an Adaptive Bandwidth Scheduling Scheme, called CABS. Our scheme uses the laxity of cells and a combination of four priority types: space priority, time priority, cell loss priority and rate regulation. The novel concept facilitates achieving the desired design goals while enabling the flexible control and the lower complexity. The CABS scheme has further advantages, including isolation, fair and adaptive distribution of bandwidth. In order to give a complete solution, an integrated concept was proposed for bandwidth management, connection admission control and flow control. Several simulations were made to exemplify the service guarantees and other advantageous properties provided by the CABS scheme for the single node case and for a network configuration.
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Dang Hai Hoang has been involved in telecommunication-related research and development for the last 17 years. His research interests include queuing theory, traffic management, communication networks and control systems. He published in many journals and conference proceedings and is a recipient of the research fellowship of the Alexander von Humboldt foundation.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Supporting diverse applications with various Quality-of-Service guarantees in ATM-based broadband networks requires the design of a proper bandwidth control mechanism at the switch nodes. We proposed in this work a new adaptive approach to the bandwidth control and developed an Adaptive Bandwidth Scheduling Scheme, called CABS . Our scheme uses the laxity of cells and a combination of four priority types: space priority, time priority, cell loss priority and rate regulation . The novel concept facilitates achieving the desired design goals while enabling the flexible control and the lower complexity. The CABS scheme has further advantages, including isolation, fair and adaptive distribution of bandwidth. In order to give a complete solution, an integrated concept was proposed for bandwidth management, connection admission control and flow control. Several simulations were made to exemplify the service guarantees and other advantageous properties provided by the CABS scheme for the single node case and for a network configuration. 181 pp. Englisch. Seller Inventory # 9783631356562
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Supporting diverse applications with various Quality-of-Service guarantees in ATM-based broadband networks requires the design of a proper bandwidth control mechanism at the switch nodes. We proposed in this work a new adaptive approach to the bandwidth control and developed an Adaptive Bandwidth Scheduling Scheme, called CABS . Our scheme uses the laxity of cells and a combination of four priority types: space priority, time priority, cell loss priority and rate regulation . The novel concept facilitates achieving the desired design goals while enabling the flexible control and the lower complexity. The CABS scheme has further advantages, including isolation, fair and adaptive distribution of bandwidth. In order to give a complete solution, an integrated concept was proposed for bandwidth management, connection admission control and flow control. Several simulations were made to exemplify the service guarantees and other advantageous properties provided by the CABS scheme for the single node case and for a network configuration. Seller Inventory # 9783631356562
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Taschenbuch. Condition: Neu. Adaptive Bandwidth Management for ATM-based Broadband Networks | Dissertationsschrift | Dang Hai Hoang | Taschenbuch | Englisch | Peter Lang | EAN 9783631356562 | Verantwortliche Person für die EU: preigu, Ansas Meyer, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 133566425
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