Revision with unchanged content. With the rapid growth of Internet in scale and complexity, providing quality-of-service (QoS) in Internet becomes increasingly important for network design, traffic engineering, troubleshooting and service-level-agreement (SLA) verification. However, the rapid expansion of Internet makes QoS monitoring a challenging task. The enormous amount of measurement data cause significant increase of cost and resource usage. To solve these problems, sampling techniques are employed in QoS monitoring systems to reduce the measurement complexity and cost. This book provides a comprehensive study of QoS monitoring for SLA verification. Special features include: A focus on the characteristics of QoS metrics as well as major measurement methodologies for monitoring these metrics; an extensive study of widely used sampling techniques; a easy-to-understand theoretical analysis on sampling performance; a detailed description of the proposed adaptive stratified sampling scheme; a particular explanation of the network performance monitoring software design; ample figures, tables and bibliographic references.
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BSc (physics) and BEc Peking University, MEng (telecommunication) University of Sydney. Now, he is a PhD student in telecommunication engineering in University of Sydney, and is also a research assistant in NICTA. His research interests include network QoS, wireless sensor (ad hoc) networks, wireless sensor localization technique.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Revision with unchanged content. With the rapid growth of Internet in scale and complexity, providing quality-of-service (QoS) in Internet becomes increasingly important for network design, traffic engineering, troubleshooting and service-level-agreement (SLA) verification. However, the rapid expansion of Internet makes QoS monitoring a challenging task. The enormous amount of measurement data cause significant increase of cost and resource usage. To solve these problems, sampling techniques are employed in QoS monitoring systems to reduce the measurement complexity and cost. This book provides a comprehensive study of QoS monitoring for SLA verification. Special features include: A focus on the characteristics of QoS metrics as well as major measurement methodologies for monitoring these metrics; an extensive study of widely used sampling techniques; a easy-to-understand theoretical analysis on samp ling performance; a detailed description of the proposed adaptive stratified sampling scheme; a particular explanation of the network perfor mance monitoring software design; ample figures, tables and bibliographic references. 132 pp. Englisch. Seller Inventory # 9783639417753
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ta XiaoyuanBSc (physics) and BEc Peking University, MEng (telecommunication) University of Sydney. Now, he is a PhD student in telecommunication engineering in University of Sydney, and is also a research assistant in NICTA. His rese. Seller Inventory # 4985990
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Revision with unchanged content. With the rapid growth of Internet in scale and complexity, providing quality-of-service (QoS) in Internet becomes increasingly important for network design, traffic engineering, troubleshooting and service-level-agreement (SLA) verification. However, the rapid expansion of Internet makes QoS monitoring a challenging task. The enormous amount of measurement data cause significant increase of cost and resource usage. To solve these problems, sampling techniques are employed in QoS monitoring systems to reduce the measurement complexity and cost. This book provides a comprehensive study of QoS monitoring for SLA verification. Special features include: A focus on the characteristics of QoS metrics as well as major measurement methodologies for monitoring these metrics; an extensive study of widely used sampling techniques; a easy-to-understand theoretical analysis on samp ling performance; a detailed description of the proposed adaptive stratified sampling scheme; a particular explanation of the network perfor mance monitoring software design; ample figures, tables and bibliographic references. Seller Inventory # 9783639417753
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Revision with unchanged content. With the rapid growth of Internet in scale and complexity, providing quality-of-service (QoS) in Internet becomes increasingly important for network design, traffic engineering, troubleshooting and service-level-agreement (SLA) verification. However, the rapid expansion of Internet makes QoS monitoring a challenging task. The enormous amount of measurement data cause significant increase of cost and resource usage. To solve these problems, sampling techniques are employed in QoS monitoring systems to reduce the measurement complexity and cost. This book provides a comprehensive study of QoS monitoring for SLA verification. Special features include: A focus on the characteristics of QoS metrics as well as major measurement methodologies for monitoring these metrics; an extensive study of widely used sampling techniques; a easy-to-understand theoretical analysis on sampling performance; a detailed description of the proposed adaptive stratified sampling scheme; a particular explanation of the network performance monitoring software design; ample figures, tables and bibliographic references.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 132 pp. Englisch. Seller Inventory # 9783639417753
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Taschenbuch. Condition: Neu. Internet Quality of Service Monitoring System | Applied Sampling Techniques for Network Performance Measurement | Xiaoyuan Ta | Taschenbuch | 132 S. | Englisch | 2012 | AV Akademikerverlag | EAN 9783639417753 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 106435987