Published by Cham, Springer., 2019
ISBN 10: 3030150275 ISBN 13: 9783030150273
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
XI, 248 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Wireless Networks. Sprache: Englisch.
Published by Springer, 2023
ISBN 10: 3031269888 ISBN 13: 9783031269882
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Published by Springer, 2023
ISBN 10: 3031269861 ISBN 13: 9783031269868
Seller: booksXpress, Bayonne, NJ, U.S.A.
Hardcover. Condition: new.
Published by Springer, 2019
ISBN 10: 3030150275 ISBN 13: 9783030150273
Seller: booksXpress, Bayonne, NJ, U.S.A.
Hardcover. Condition: new.
Published by Springer, 2019
ISBN 10: 3030150275 ISBN 13: 9783030150273
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Published by Springer, 2019
ISBN 10: 3030150275 ISBN 13: 9783030150273
Seller: GreatBookPricesUK, Castle Donington, DERBY, United Kingdom
Condition: New.
Published by Springer, 2019
ISBN 10: 3030150275 ISBN 13: 9783030150273
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Published by Springer, 2019
ISBN 10: 3030150275 ISBN 13: 9783030150273
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Published by Springer, 2019
ISBN 10: 3030150275 ISBN 13: 9783030150273
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Condition: New.
Published by Springer, 2019
ISBN 10: 3030150275 ISBN 13: 9783030150273
Seller: GreatBookPricesUK, Castle Donington, DERBY, United Kingdom
Condition: As New. Unread book in perfect condition.
Published by Springer International Publishing Mai 2019, 2019
ISBN 10: 3030150275 ISBN 13: 9783030150273
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book mainly discusses the most important issues in artificial intelligence-aided future networks, such as applying different ML approaches to investigate solutions to intelligently monitor, control and optimize networking. The authors focus on four scenarios of successfully applying machine learning in network space. It also discusses the main challenge of network traffic intelligent awareness and introduces several machine learning-based traffic awareness algorithms, such as traffic classification, anomaly traffic identification and traffic prediction. The authors introduce some ML approaches like reinforcement learning to deal with network control problem in this book.Traditional works on the control plane largely rely on a manual process in configuring forwarding, which cannot be employed for today's network conditions. To address this issue, several artificial intelligence approaches for self-learning control strategies are introduced. In addition, resource management problems are ubiquitous in the networking field, such as job scheduling, bitrate adaptation in video streaming and virtual machine placement in cloud computing. Compared with the traditional with-box approach, the authors present some ML methods to solve the complexity network resource allocation problems. Finally, semantic comprehension function is introduced to the network to understand the high-level business intent in this book.With Software-Defined Networking (SDN), Network Function Virtualization (NFV), 5th Generation Wireless Systems (5G) development, the global network is undergoing profound restructuring and transformation. However, with the improvement of the flexibility and scalability of the networks, as well as the ever-increasing complexity of networks, makes effective monitoring, overall control, and optimization of the network extremely difficult. Recently, adding intelligence to the control plane through AI&ML become a trend and a direction of network developmentThis book's expected audience includes professors, researchers, scientists, practitioners, engineers, industry managers, and government research workers, who work in the fields of intelligent network. Advanced-level students studying computer science and electrical engineering will also find this book useful as a secondary textbook. 260 pp. Englisch.
Published by Springer International Publishing, 2019
ISBN 10: 3030150275 ISBN 13: 9783030150273
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book mainly discusses the most important issues in artificial intelligence-aided future networks, such as applying different ML approaches to investigate solutions to intelligently monitor, control and optimize ne.
Published by Springer, 2023
ISBN 10: 3031269861 ISBN 13: 9783031269868
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Published by Springer International Publishing, 2019
ISBN 10: 3030150275 ISBN 13: 9783030150273
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book mainly discusses the most important issues in artificial intelligence-aided future networks, such as applying different ML approaches to investigate solutions to intelligently monitor, control and optimize networking. The authors focus on four scenarios of successfully applying machine learning in network space. It also discusses the main challenge of network traffic intelligent awareness and introduces several machine learning-based traffic awareness algorithms, such as traffic classification, anomaly traffic identification and traffic prediction. The authors introduce some ML approaches like reinforcement learning to deal with network control problem in this book.Traditional works on the control plane largely rely on a manual process in configuring forwarding, which cannot be employed for today's network conditions. To address this issue, several artificial intelligence approaches for self-learning control strategies are introduced. In addition, resource management problems are ubiquitous in the networking field, such as job scheduling, bitrate adaptation in video streaming and virtual machine placement in cloud computing. Compared with the traditional with-box approach, the authors present some ML methods to solve the complexity network resource allocation problems. Finally, semantic comprehension function is introduced to the network to understand the high-level business intent in this book.With Software-Defined Networking (SDN), Network Function Virtualization (NFV), 5th Generation Wireless Systems (5G) development, the global network is undergoing profound restructuring and transformation. However, with the improvement of the flexibility and scalability of the networks, as well as the ever-increasing complexity of networks, makes effective monitoring, overall control, and optimization of the network extremely difficult. Recently, adding intelligence to the control plane through AI&ML become a trend and a direction of network developmentThis book's expected audience includes professors, researchers, scientists, practitioners, engineers, industry managers, and government research workers, who work in the fields of intelligent network. Advanced-level students studying computer science and electrical engineering will also find this book useful as a secondary textbook.
Published by Springer, 2023
ISBN 10: 3031269861 ISBN 13: 9783031269868
Seller: GreatBookPricesUK, Castle Donington, DERBY, United Kingdom
Condition: New.
Published by Springer-Nature New York Inc, 2023
ISBN 10: 3031269861 ISBN 13: 9783031269868
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 419 pages. 9.25x6.10x9.21 inches. In Stock. This item is printed on demand.
Published by Springer, 2023
ISBN 10: 3031269861 ISBN 13: 9783031269868
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Published by Springer, 2019
ISBN 10: 3030150275 ISBN 13: 9783030150273
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 262 pages. 9.25x6.10x0.79 inches. In Stock.
Published by Springer, 2023
ISBN 10: 3031269861 ISBN 13: 9783031269868
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Published by Springer, Berlin|Springer International Publishing|Springer, 2023
ISBN 10: 3031269861 ISBN 13: 9783031269868
Seller: moluna, Greven, Germany
Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book provides an overview of the Internet of Things Network and Machine Learning and introduces Internet of Things architecture. It designs a new intelligent IoT network architecture and introduces different machine learning approaches to investigate s.
Published by Springer, Berlin, Springer International Publishing, Springer, 2024
ISBN 10: 3031269896 ISBN 13: 9783031269899
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides an overview of the Internet of Things Network and Machine Learning and introduces Internet of Things architecture. It designs a new intelligent IoT network architecture and introduces different machine learning approaches to investigate solutions. It discusses how machine learning can help network awareness and achieve network intelligent control. It also dicusses the emerging network techniques that can enable the development of intelligent IoT networks.This book applies several intelligent approaches for efficient resource scheduling in networks. It discusses Mobile Edge Computing aided intelligent IoT and focuses mainly on the resource sharing and edge computation offloading problems in mobile edge networks. The blockchain-based IoT (which allows fairly and securely renting resources and establishing contracts) is discussed as well.The Internet of Things refers to the billions of physical devices thatare now connected to and transfer data through the Internet without requiring human-to-human or human-to-computer interaction. According to Gartner's prediction, there will be more than 37 billion IoT connections in the future year of 2025. However, with large-scale IoT deployments, IoT networks are facing challenges in the aspects of scalability, privacy, and security. The ever-increasing complexity of the IoT makes effective monitoring, overall control, optimization, and auditing of the network difficult. Recently, artificial intelligence (AI) and machine learning (ML) approaches have emerged as a viable solution to address this challenge. Machine learning can automatically learn and optimize strategy directly from experience without following pre-defined rules. Therefore, it is promising to apply machine learning in IoT network control and management to leverage powerful machine learning adaptive abilities for higher network performance.This book targets researchers working in the Internet of Things networks as well as graduate students and undergraduate students focused on this field. Industry managers, and government research agencies in the fields of the IoT networks will also want to purchase this book. 405 pp. Englisch.
Published by Springer, 2023
ISBN 10: 3031269861 ISBN 13: 9783031269868
Seller: GreatBookPricesUK, Castle Donington, DERBY, United Kingdom
Condition: As New. Unread book in perfect condition.
Published by Springer, 2019
ISBN 10: 3030150275 ISBN 13: 9783030150273
Seller: Mispah books, Redhill, SURRE, United Kingdom
Hardcover. Condition: New. New. book.
Published by Springer-Nature New York Inc, 2023
ISBN 10: 3031269861 ISBN 13: 9783031269868
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 419 pages. 9.25x6.10x9.21 inches. In Stock.