Next Generation and Advanced Network Reliability Analysis - Using Markov Models and Software Reliability Engineering (Hardcover, 1st ed. 2019)

This book covers reliability assessment and prediction of new technologies such as next generation networks that use cloud computing, Network Function Virtualization (NVF), Software Defined Network (SDN), Next Generation Transport, Evolving Wireless Systems, Digital VoIP Telephony, and Reliability Testing techniques specific to Next Generation Networks (NGN). This book introduces the technology to the reader first, followed by advanced reliability techniques applicable to both hardware and software reliability analysis. The book covers methodologies that can predict reliability using component failure rates to system level downtimes. The book's goal is to familiarize the reader with analytical techniques, tools and methods necessary for analyzing very complex networks using very different technologies. The book lets readers quickly learn technologies behind currently evolving NGN and apply advanced Markov modeling and Software Reliability Engineering (SRE) techniques for assessing their operational reliability. Covers reliability analysis of advanced networks and provides basic mathematical tools and analysis techniques and methodology for reliability and quality assessment; Develops Markov and Software Engineering Models to predict reliability; Covers both hardware and software reliability for next generation technologies.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Signals and Communication Technology
Release date:	November 2018
First published:	2019
Authors:	Syed Riffat Ali
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	311
Edition:	1st ed. 2019
ISBN-13:	978-3-03-001646-3
Categories:	Books > Computing & IT > General theory of computing > Systems analysis & design Books > Professional & Technical > Mechanical engineering & materials > Production engineering > Reliability engineering
LSN:	3-03-001646-3
Barcode:	9783030016463

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