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Resource Allocation for Software Defined Networks

(Autor)

Buch | Hardcover
2020 | 1st ed. 2020
Springer International Publishing (Verlag)
978-3-030-59097-0 (ISBN)
53,49 inkl. MwSt
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The book is devoted to the selected resource allocation problems in Software- Defined Networks. Moreover, it covers results concerning Software Defined Wide Area Networks (SD-WANs) which is one of the current networking hot topics. The variety of different cases is considered including virtualization and information-centric paradigm. For each case, the mathematical model together with the problem formulation is given and some solution algorithms are proposed. The algorithms are discussed and evaluated, mostly with simulations.

Dariusz Gasior was born in 1982. He received MSc. and PhD degrees from Wroclaw University of Science and Technology in 2006 and 2010, respectively. He is currently an assistant professor in Department of Computer Science and Systems Engineering at Wroclaw University of Science and Technology. He was involved in many scientific and industrial projects. He took a part in the Future Internet Engineering project, working on the concepts and algorithms for network virtualization and self-managing systems. He was awarded a Bronze Medal for Long Service and a Rector's awards for scientific activities. His research interests include network optimization, software defined networking, autonomic computing, cloud and fog systems.

Introduction Basic SDNs SD-WAN as interdomain network SD-WAN as multi-domain network Virtual SDNs Multi-domain virtual SDNs Information-Centric SDNs Summary

Erscheint lt. Verlag 2.12.2020
Reihe/Serie SpringerBriefs in Computer Science
Zusatzinfo Approx. 120 p.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Informatik Netzwerke
Schlagworte IC-SDN • Multi-Domain Networks • Network Management • Network Optimization • SDN • SD-WAN • Simulation • Software Defined Networks • virtualization
ISBN-10 3-030-59097-6 / 3030590976
ISBN-13 978-3-030-59097-0 / 9783030590970
Zustand Neuware
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