Non-Fiction Books:

Theory and Engineering of Dependable Computer Systems and Networks

Proceedings of the Sixteenth International Conference on Dependability of Computer Systems DepCoS-RELCOMEX, June 28 – July 2, 2021, Wrocław, Poland
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Description

This book contains papers on selected aspects of dependability analysis in computer systems and networks, which were chosen for discussion during the 16th DepCoS-RELCOMEX conference held in Wrocław, Poland, from June 28 to July 2, 2021. Their collection will be a valuable source material for scientists, researchers, practitioners and students who are dealing with design, analysis and engineering of computer systems and networks and must ensure their dependable operation. Being probably the most complex technical systems ever engineered by man (and also—the most dynamically evolving ones), organization of contemporary computer systems cannot be interpreted only as structures built on the basis of (unreliable) technical resources. Their evaluation must take into account a specific blend of interacting people (their needs and behaviours), networks (together with mobile properties, cloud organization, Internet of Everything, etc.) and a large number of users dispersed geographically and constantly producing an unconceivable number of applications. Ever-growing number of research methods being continuously developed for dependability analyses apply the newest techniques of artificial and computational intelligence. Selection of papers in these proceedings illustrates diversity of multi-disciplinary topics which are considered in present-day dependability explorations.
Release date Australia
May 27th, 2021
Contributors
  • Edited by Jacek Mazurkiewicz
  • Edited by Janusz Kacprzyk
  • Edited by Jaroslaw Sugier
  • Edited by Tomasz Walkowiak
  • Edited by Wojciech Zamojski
Pages
512
Edition
1st ed. 2021
Audience
  • Professional & Vocational
Illustrations
109 Illustrations, color; 80 Illustrations, black and white; XVII, 512 p. 189 illus., 109 illus. in color.
ISBN-13
9783030767723
Product ID
34852105

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