Modeling and optimization in software-defined networks (Record no. 32475)

000 -LEADER
fixed length control field a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230831b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031012549
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 004.6
Item number POU
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Poularakis, Konstantinos
245 ## - TITLE STATEMENT
Title Modeling and optimization in software-defined networks
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Springer,
Date of publication, distribution, etc 2021
Place of publication, distribution, etc Switzerland :
300 ## - PHYSICAL DESCRIPTION
Extent xiii, 160 p. ;
Other physical details ill., (some color),
Dimensions 24 cm
365 ## - TRADE PRICE
Price amount 54.99
Price type code EUR
Unit of pricing 94.90
490 ## - SERIES STATEMENT
Series statement Synthesis lectures on learning, networks, and algorithms,
Volume number/sequential designation #27
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Software-defined networking
Topical term or geographic name as entry element Computer network technology
Topical term or geographic name as entry element Mathematical optimization
Topical term or geographic name as entry element Network analysis Planning
Topical term or geographic name as entry element Mathematical models
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Tassiulas, Leandros
Personal name Lakshman, T. V.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Cost, normal purchase price Full call number Barcode Date last seen Koha item type
          DAIICT DAIICT 2023-08-26 5218.55 004.6 POU 034138 2023-08-31 Books

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