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9783030590970: Resource Allocation for Software Defined Networks (SpringerBriefs in Computer Science)

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Sinopsis

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.

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Acerca del autor

Dariusz Gąsior 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.

De la contraportada

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.

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9783030591007: Resource Allocation for Software Defined Networks (SpringerBriefs in Computer Science)

Edición Destacada

ISBN 10:  303059100X ISBN 13:  9783030591007
Editorial: Springer, 2021
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