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Stochastic Network Calculus

By: Liu, Yong [author.].
Contributor(s): Jiang, Yuming [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: London : Springer London, 2008.Description: XIX, 232 p. 26 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781848001275.Subject(s): Computer science | Computer organization | Computer communication systems | Computer system failures | Computer Science | Computer Communication Networks | System Performance and Evaluation | Computer Systems Organization and Communication NetworksDDC classification: 004.6 Online resources: Click here to access online
Contents:
Deterministic Network Calculus -- Traffic Models for Stochastic Network Calculus -- Server Models for Stochastic Network Calculus -- Basic Properties of Stochastic Network Calculus -- Independent Case Analysis -- Analysis on Scheduling Disciplines -- Traffic Conformance Study -- LRD Isolation in Generalized Processor Sharing.
In: Springer eBooksSummary: Network calculus, a theory dealing with queuing systems found in computer networks, focuses on performance guarantees. The development of an information theory for stochastic service-guarantee analysis has been identified as a grand challenge for future networking research. Towards that end, stochastic network calculus, the probabilistic version or generalization of the (deterministic) Network Calculus, has been recognized by researchers as a crucial step. Stochastic Network Calculus presents a comprehensive treatment for the state-of-the-art in stochastic service-guarantee analysis research and provides basic introductory material on the subject, as well as discusses the most recent research in the area. This helpful volume summarizes results for stochastic network calculus, which can be employed when designing computer networks to provide stochastic service guarantees. Features and Topics: • Provides a solid introductory chapter, providing useful background knowledge • Reviews fundamental concepts and results of deterministic network calculus • Includes end-of-chapter problems, as well as summaries and bibliographic comments • Defines traffic models and server models for stochastic network calculus • Summarizes the basic properties of stochastic network calculus under different combinations of traffic and server models • Highlights independent case analysis • Discusses stochastic service guarantees under different scheduling disciplines • Presents applications to admission control and traffic conformance study using the analysis results • Offers an overall summary and some open research challenges for further study of the topic Researchers and graduates in the area of performance evaluation of computer communication networks will benefit substantially from this comprehensive and easy-to-follow volume. Professionals will also find it a worthwhile reference text. Professor Yuming Jiang at the Norwegian University of Science and Technology (NTNU) has lectured using the material presented in this text since 2006. Dr Yong Liu works at the Optical Network Laboratory, National University of Singapore, where he researches QoS for optical communication networks and Metro Ethernet networks. Key Topics: • Queuing systems • Performance analysis and guarantees • Independent case analysis • Traffic and server models • Analysis of scheduling disciplines • Generalized processor sharing • Open research challenges.
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Deterministic Network Calculus -- Traffic Models for Stochastic Network Calculus -- Server Models for Stochastic Network Calculus -- Basic Properties of Stochastic Network Calculus -- Independent Case Analysis -- Analysis on Scheduling Disciplines -- Traffic Conformance Study -- LRD Isolation in Generalized Processor Sharing.

Network calculus, a theory dealing with queuing systems found in computer networks, focuses on performance guarantees. The development of an information theory for stochastic service-guarantee analysis has been identified as a grand challenge for future networking research. Towards that end, stochastic network calculus, the probabilistic version or generalization of the (deterministic) Network Calculus, has been recognized by researchers as a crucial step. Stochastic Network Calculus presents a comprehensive treatment for the state-of-the-art in stochastic service-guarantee analysis research and provides basic introductory material on the subject, as well as discusses the most recent research in the area. This helpful volume summarizes results for stochastic network calculus, which can be employed when designing computer networks to provide stochastic service guarantees. Features and Topics: • Provides a solid introductory chapter, providing useful background knowledge • Reviews fundamental concepts and results of deterministic network calculus • Includes end-of-chapter problems, as well as summaries and bibliographic comments • Defines traffic models and server models for stochastic network calculus • Summarizes the basic properties of stochastic network calculus under different combinations of traffic and server models • Highlights independent case analysis • Discusses stochastic service guarantees under different scheduling disciplines • Presents applications to admission control and traffic conformance study using the analysis results • Offers an overall summary and some open research challenges for further study of the topic Researchers and graduates in the area of performance evaluation of computer communication networks will benefit substantially from this comprehensive and easy-to-follow volume. Professionals will also find it a worthwhile reference text. Professor Yuming Jiang at the Norwegian University of Science and Technology (NTNU) has lectured using the material presented in this text since 2006. Dr Yong Liu works at the Optical Network Laboratory, National University of Singapore, where he researches QoS for optical communication networks and Metro Ethernet networks. Key Topics: • Queuing systems • Performance analysis and guarantees • Independent case analysis • Traffic and server models • Analysis of scheduling disciplines • Generalized processor sharing • Open research challenges.

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