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So-called Intent-Based Networking (IBN) is founded on well-known SDN (Software-Defined Networking) and represents one of the most important emerging network infrastructure opportunities. The IBN is the beginning of a new era in the history of networking, where the network itself translates business intentions into appropriate network configurations for all devices. This minimizes manual effort, provides an additional layer of network monitoring, and provides the ability to perform network analytics and take full advantage of machine learning. The centralized, software-defined solution provides process automation and proactive problem solving as well as centralized management of the network infrastructure. With software-based network management, many operations can be performed automatically using intelligent control algorithms (artificial intelligence and machine learning). As a result, network operation costs, application response times and energy consumption are reduced, network reliability and performance are improved, network security and flexibility are enhanced. This will be a benefit for existing networks as well as evolved LTE-based mobile networks, emerging Internet of Things (IoT), Cloud systems, and soon for the future 5G/6G networks. The future networks will reach a whole new level of self-awareness, self-configuration, self-optimization, self-recovery and self-protection. This volume consists of 28 chapters, based on recent research on IBN.The volume is a collection of the most important research for the future intent-based networking deployment provided by different groups of researchers from Ukraine, Germany, Slovak Republic, Switzerland, South Korea, China, Czech Republic, Poland, Brazil, Belarus and Israel. The authors of the chapters from this collection present in depth extended research results in their scientific fields.The presented contents are highly interesting while still being rather practically oriented and straightforward to understand. Herewith we would like to wish all our readers a lot of inspiration by studying of the volume!
Dieses Übungsbuch ergänzt das Lehrbuch "Luntovskyy/Gütter, Moderne Rechnernetze: Protokolle, Standards und Apps in kombinierten drahtgebundenen, mobilen und drahtlosen Netzwerken" um praktische Übungen und dazugehörige Musterlösungen.Die Übungen und Musterlösungen werden den Teilen I, II, III im Lehrbuch zugeordnet und folgen damit dem modularen Aufbau des o.g. Lehrbuchs.Lehrbuch und Übungsbuch eignen sich als vorlesungsbegleitende Literatur zum Modul Computernetzwerke im ET- und IT-Fachstudium für Studierende und Dozenten an technischen Hochschulen.
Das Buch mit einem stark ausgeprägten modularen Aufbau, wird als ein vorlesungsbegleitendes Lehrbuch zum Modul Computernetzwerke im ET- und IT-Fachstudium an technischen Hochschulen empfohlen und enthält drei Teile sowie Zwischenfragen mit dazugehörigen Lösungen und weitere Übungsaufgaben. Teil I beinhaltet eine Einführung in das Gebiet der Rechnernetze. Die weiterführenden Teile II und III behandeln aktuelle Rechnernetztechnologien, Kopplungselemente und Verkabelungskonzepte. Die Leser werden dabei mit verteilten Softwaresystemen und Rechnernetzanwendungen vertraut gemacht.
So-called Intent-Based Networking (IBN) is founded on well-known SDN (Software-Defined Networking) and represents one of the most important emerging network infrastructure opportunities. The IBN is the beginning of a new era in the history of networking, where the network itself translates business intentions into appropriate network configurations for all devices. This minimizes manual effort, provides an additional layer of network monitoring, and provides the ability to perform network analytics and take full advantage of machine learning. The centralized, software-defined solution provides process automation and proactive problem solving as well as centralized management of the network infrastructure. With software-based network management, many operations can be performed automatically using intelligent control algorithms (artificial intelligence and machine learning). As a result, network operation costs, application response times and energy consumption are reduced, network reliability and performance are improved, network security and flexibility are enhanced. This will be a benefit for existing networks as well as evolved LTE-based mobile networks, emerging Internet of Things (IoT), Cloud systems, and soon for the future 5G/6G networks. The future networks will reach a whole new level of self-awareness, self-configuration, self-optimization, self-recovery and self-protection. This volume consists of 28 chapters, based on recent research on IBN.The volume is a collection of the most important research for the future intent-based networking deployment provided by different groups of researchers from Ukraine, Germany, Slovak Republic, Switzerland, South Korea, China, Czech Republic, Poland, Brazil, Belarus and Israel. The authors of the chapters from this collection present in depth extended research results in their scientific fields.The presented contents are highly interesting while still being rather practically oriented and straightforward to understand. Herewith we would like to wish all our readers a lot of inspiration by studying of the volume!
So, you are reading a book that aims to cover the field of recent innovations in network services and distributed systems. The book's target audience includes university and technical college students, graduate engineers and teaching staff. If you are someone else, don't worry, the topics covered may still be of interest to you!
With the given work we decided to help not only the readers but ourselves, as the professionals who actively involved in the networking branch, with understanding the trends that have developed in recent two decades in distributed systems and networks. Important architecture transformations of distributed systems have been examined. The examples of new architectural solutions are discussed.
Moderne kombinierte Computernetze in Gebauden, wie beispielsweise
WLAN oder WSN sind sehr komplex. Eine sorgfaltige Netzwerkplanung
vermeidet Entwurfsfehler und tragt damit zur Verhinderung unnotiger
Ubertragungsengpasse und kostspieliger Veranderungsarbeiten
bei.
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