9783031012549 - modeling and optimization in software-defined networks (synthesis lectures on learning, networks, and algorithms) von poularakis, konstantinos; tassiulas, leandros; lakshman, t.v. (15 Ergebnisse)
Modeling and Optimization in Software-Defined Networks
Poularakis, Konstantinos; Tassiulas, Leandros; Lakshman, T.V.
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Modeling and Optimization in Software-Defined Networks (Synthesis Lectures on Learning, Networks, and Algorithms)
Poularakis, Konstantinos; Tassiulas, Leandros; Lakshman, T.V.
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Modeling and Optimization in Software-Defined Networks
Poularakis, Konstantinos; Tassiulas, Leandros; Lakshman, T.V.
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a quick reference and insights into modeling and optimization of software-defined networks (SDNs). It covers various algorithms and approaches that have been developed for optimizations related to the control plane, the considerabl…e research related to data plane optimization, and topics that have significant potential for research and advances to the state-of-the-art in SDN. Over the past ten years, network programmability has transitioned from research concepts to more mainstream technology through the advent of technologies amenable to programmability such as service chaining, virtual network functions, and programmability of the data plane. However, the rapid development in SDN technologies has been the key driver behind its evolution. The logically centralized abstraction of network states enabled by SDN facilitates programmability and use of sophisticated optimization and control algorithms for enhancing network performance, policy management, and security.Furthermore, the centralized aggregation of network telemetry facilitates use of data-driven machine learning-based methods. To fully unleash the power of this new SDN paradigm, though, various architectural design, deployment, and operations questions need to be addressed. Associated with these are various modeling, resource allocation, and optimization opportunities.The book covers these opportunities and associated challenges, which represent a ``call to arms'' for the SDN community to develop new modeling and optimization methods that will complement or improve on the current norms.
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Taschenbuch. Zustand: Neu. Modeling and Optimization in Software-Defined Networks | Konstantinos Poularakis (u. a.) | Taschenbuch | Synthesis Lectures on Learning, Networks, and Algorithms | xiv | Englisch | 2021 | Springer | EAN 9783031012549 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 He…idelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Modeling and Optimization in Software-Defined Netw
Poularakis, Konstantinos; Tassiulas, Leandros; Lakshman, T.V.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a quick reference and insights into modeling and optimization of software-defined networks (SDNs). It covers various algorithms and approaches that have been developed for optimizations related to the control plane,… the considerable research related to data plane optimization, and topics that have significant potential for research and advances to the state-of-the-art in SDN. Over the past ten years, network programmability has transitioned from research concepts to more mainstream technology through the advent of technologies amenable to programmability such as service chaining, virtual network functions, and programmability of the data plane. However, the rapid development in SDN technologies has been the key driver behind its evolution. The logically centralized abstraction of network states enabled by SDN facilitates programmability and use of sophisticated optimization and control algorithms for enhancing network performance, policy management, and security.Furthermore, the centralized aggregation of network telemetry facilitates use of data-driven machine learning-based methods. To fully unleash the power of this new SDN paradigm, though, various architectural design, deployment, and operations questions need to be addressed. Associated with these are various modeling, resource allocation, and optimization opportunities.The book covers these opportunities and associated challenges, which represent a ``call to arms'' for the SDN community to develop new modeling and optimization methods that will complement or improve on the current norms. 176 pp. Englisch.
Modeling and Optimization in Software-Defined Networks (Synthesis Lectures on Learning, Networks, and Algorithms)
Poularakis, Konstantinos; Tassiulas, Leandros; Lakshman, T.V.
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Modeling and Optimization in Software-Defined Networks (Synthesis Lectures on Learning, Networks, and Algorithms)
Poularakis, Konstantinos; Tassiulas, Leandros; Lakshman, T.V.
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Sprache: Englisch
Verlag: Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2021
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book provides a quick reference and insights into modeling and optimization of software-defined networks (SDNs). It covers various algorithms and approaches that have been developed for optimizations related to the… control plane, the considerable resea.
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides a quick reference and insights into modeling and optimization of software-defined networks (SDNs). It covers various algorithms and approaches that have been developed for optimizations related to the control plane, the… considerable research related to data plane optimization, and topics that have significant potential for research and advances to the state-of-the-art in SDN. Over the past ten years, network programmability has transitioned from research concepts to more mainstream technology through the advent of technologies amenable to programmability such as service chaining, virtual network functions, and programmability of the data plane. However, the rapid development in SDN technologies has been the key driver behind its evolution. The logically centralized abstraction of network states enabled by SDN facilitates programmability and use of sophisticated optimization and control algorithms for enhancing network performance, policy management, and security.Furthermore, the centralized aggregation of network telemetry facilitates use of data-driven machine learning-based methods. To fully unleash the power of this new SDN paradigm, though, various architectural design, deployment, and operations questions need to be addressed. Associated with these are various modeling, resource allocation, and optimization opportunities.The book covers these opportunities and associated challenges, which represent a ``call to arms'' for the SDN community to develop new modeling and optimization methods that will complement or improve on the current norms.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 176 pp. Englisch.
