Share
New Advances in Dependability of Networks and Systems: Proceedings of the Seventeenth International Conference on Dependability of Computer Systems De
Zamojski, Wojciech ; Mazurkiewicz, Jacek ; Sugier, Jaroslaw (Author)
·
Springer
· Paperback
New Advances in Dependability of Networks and Systems: Proceedings of the Seventeenth International Conference on Dependability of Computer Systems De - Zamojski, Wojciech ; Mazurkiewicz, Jacek ; Sugier, Jaroslaw
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My Wishlists
Origin: U.S.A.
(Import costs included in the price)
It will be shipped from our warehouse between
Thursday, July 18 and
Thursday, July 25.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "New Advances in Dependability of Networks and Systems: Proceedings of the Seventeenth International Conference on Dependability of Computer Systems De"
The book consists of papers on selected topics of dependability analysis in computer systems and networks which were discussed during the 17th DepCoS-RELCOMEX conference held in Wroclaw, Poland, from June 27th to July 1st, 2022. Their collection will be an interesting 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 and networks cannot be interpreted only as a structure built on the base of unreliable technical resources. Their evaluation must take into account a unique blend of interacting people, networks (together with mobile properties, cloud organization, Internet of Everything, etc.) and a large number of users dispersed geographically andconstantly producing an unconceivable number of applications. Research methods being continuously developed for dependability analyses apply newest results of artificial and computational intelligence. Selection of papers in this book illustrates broad range of topics, often multi-disciplinary, which is considered in present-day dependability explorations; it also reveals an increasing role of the latest methods based on machine/deep learning and neural networks in these studies.
