Machine Learning Empowered Intelligent Data Center Networking

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Machine Learning Empowered Intelligent Data Center Networking

Author : Ting Wang
Publisher : Springer Nature
ISBN 13 : 9811973954
Total Pages : 123 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Machine Learning Empowered Intelligent Data Center Networking by : Ting Wang

Download or read book Machine Learning Empowered Intelligent Data Center Networking written by Ting Wang and published by Springer Nature. This book was released on 2023-02-21 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to the Machine Learning Empowered Intelligent Data Center Networking Fundamentals of Machine Learning in Data Center Networks. This book reviews the common learning paradigms that are widely used in data centernetworks, and offers an introduction to data collection and data processing in data centers. Additionally, it proposes a multi-dimensional and multi-perspective solution quality assessment system called REBEL-3S. The book offers readers a solid foundation for conducting research in the field of AI-assisted data center networks. Comprehensive Survey of AI-assisted Intelligent Data Center Networks. This book comprehensively investigates the peer-reviewed literature published in recent years. The wide range of machine learning techniques is fully reflected to allow fair comparisons. In addition, the book provides in-depth analysis and enlightening discussions on the effectiveness of AI in DCNs from various perspectives, covering flow prediction, flow classification, load balancing, resource management, energy management, routing optimization, congestion control, fault management, and network security. Provides a Broad Overview with Key Insights. This book introduces several novel intelligent networking concepts pioneered by real-world industries, such as Knowledge Defined Networks, Self-Driving Networks, Intent-driven Networks and Intent-based Networks. Moreover, it shares unique insights into the technological evolution of the fusion of artificial intelligence and data center networks, together with selected challenges and future research opportunities.

Machine Learning Empowered Intelligent Data Center Networking

Author : Ting Wang
Publisher : Springer
ISBN 13 : 9789811973949
Total Pages : 0 pages
Book Rating : 4.9/5 (739 download)

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Book Synopsis Machine Learning Empowered Intelligent Data Center Networking by : Ting Wang

Download or read book Machine Learning Empowered Intelligent Data Center Networking written by Ting Wang and published by Springer. This book was released on 2023-02-22 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to the Machine Learning Empowered Intelligent Data Center Networking Fundamentals of Machine Learning in Data Center Networks. This book reviews the common learning paradigms that are widely used in data centernetworks, and offers an introduction to data collection and data processing in data centers. Additionally, it proposes a multi-dimensional and multi-perspective solution quality assessment system called REBEL-3S. The book offers readers a solid foundation for conducting research in the field of AI-assisted data center networks. Comprehensive Survey of AI-assisted Intelligent Data Center Networks. This book comprehensively investigates the peer-reviewed literature published in recent years. The wide range of machine learning techniques is fully reflected to allow fair comparisons. In addition, the book provides in-depth analysis and enlightening discussions on the effectiveness of AI in DCNs from various perspectives, covering flow prediction, flow classification, load balancing, resource management, energy management, routing optimization, congestion control, fault management, and network security. Provides a Broad Overview with Key Insights. This book introduces several novel intelligent networking concepts pioneered by real-world industries, such as Knowledge Defined Networks, Self-Driving Networks, Intent-driven Networks and Intent-based Networks. Moreover, it shares unique insights into the technological evolution of the fusion of artificial intelligence and data center networks, together with selected challenges and future research opportunities.

AI and Machine Learning for Network and Security Management

Author : Yulei Wu
Publisher : John Wiley & Sons
ISBN 13 : 1119835879
Total Pages : 308 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis AI and Machine Learning for Network and Security Management by : Yulei Wu

Download or read book AI and Machine Learning for Network and Security Management written by Yulei Wu and published by John Wiley & Sons. This book was released on 2022-11-08 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI AND MACHINE LEARNING FOR NETWORK AND SECURITY MANAGEMENT Extensive Resource for Understanding Key Tasks of Network and Security Management AI and Machine Learning for Network and Security Management covers a range of key topics of network automation for network and security management, including resource allocation and scheduling, network planning and routing, encrypted traffic classification, anomaly detection, and security operations. In addition, the authors introduce their large-scale intelligent network management and operation system and elaborate on how the aforementioned areas can be integrated into this system, plus how the network service can benefit. Sample ideas covered in this thought-provoking work include: How cognitive means, e.g., knowledge transfer, can help with network and security management How different advanced AI and machine learning techniques can be useful and helpful to facilitate network automation How the introduced techniques can be applied to many other related network and security management tasks Network engineers, content service providers, and cybersecurity service providers can use AI and Machine Learning for Network and Security Management to make better and more informed decisions in their areas of specialization. Students in a variety of related study programs will also derive value from the work by gaining a base understanding of historical foundational knowledge and seeing the key recent developments that have been made in the field.

Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning

Author : Sawyer D. Campbell
Publisher : John Wiley & Sons
ISBN 13 : 1119853893
Total Pages : 596 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning by : Sawyer D. Campbell

Download or read book Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning written by Sawyer D. Campbell and published by John Wiley & Sons. This book was released on 2023-09-26 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: Authoritative reference on the state of the art in the field with additional coverage of important foundational concepts Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning presents cutting-edge research advances in the rapidly growing areas in optical and RF electromagnetic device modeling, simulation, and inverse-design. The text provides a comprehensive treatment of the field on subjects ranging from fundamental theoretical principles and new technological developments to state-of-the-art device design, as well as examples encompassing a wide range of related sub-areas. The content of the book covers all-dielectric and metallodielectric optical metasurface deep learning-accelerated inverse-design, deep neural networks for inverse scattering, applications of deep learning for advanced antenna design, and other related topics. To aid in reader comprehension, each chapter contains 10-15 illustrations, including prototype photos, line graphs, and electric field plots. Contributed to by leading research groups in the field, sample topics covered in Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning include: Optical and photonic design, including generative machine learning for photonic design and inverse design of electromagnetic systems RF and antenna design, including artificial neural networks for parametric electromagnetic modeling and optimization and analysis of uniform and non-uniform antenna arrays Inverse scattering, target classification, and other applications, including deep learning for high contrast inverse scattering of electrically large structures Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning is a must-have resource on the topic for university faculty, graduate students, and engineers within the fields of electromagnetics, wireless communications, antenna/RF design, and photonics, as well as researchers at large defense contractors and government laboratories.

Fog Radio Access Networks (F-RAN)

Author : Mugen Peng
Publisher : Springer Nature
ISBN 13 : 3030507351
Total Pages : 227 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Fog Radio Access Networks (F-RAN) by : Mugen Peng

Download or read book Fog Radio Access Networks (F-RAN) written by Mugen Peng and published by Springer Nature. This book was released on 2020-08-12 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive introduction of Fog Radio Access Networks (F-RANs), from both academic and industry perspectives. The authors first introduce the network architecture and the frameworks of network management and resource allocation for F-RANs. They then discuss the recent academic research achievements of F-RANs, such as the analytical results of theoretical performance limits and optimization theory-based resource allocation techniques. Meanwhile, they discuss the application and implementations of F-RANs, including the latest standardization procedure, and the prototype and test bed design. The book is concluded by summarizing the existing open issues and future trends of F-RANs. Includes the latest theoretical and technological research achievements of F-RANs, also discussing existing open issues and future trends of F-RANs toward 6G from an interdisciplinary perspective; Provides commonly-used tools for research and development of F-RANs such as open resource projects for implementing prototypes and test beds; Includes examples of prototype and test bed design and gives tools to evaluate the performance of F-RANs in simulations and experimental circumstances.

Cloud Native Data Center Networking

Author : Dinesh G. Dutt
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492045551
Total Pages : 429 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Cloud Native Data Center Networking by : Dinesh G. Dutt

Download or read book Cloud Native Data Center Networking written by Dinesh G. Dutt and published by "O'Reilly Media, Inc.". This book was released on 2019-11-22 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you want to study, build, or simply validate your thinking about modern cloud native data center networks, this is your book. Whether you’re pursuing a multitenant private cloud, a network for running machine learning, or an enterprise data center, author Dinesh Dutt takes you through the steps necessary to design a data center that’s affordable, high capacity, easy to manage, agile, and reliable. Ideal for network architects, data center operators, and network and containerized application developers, this book mixes theory with practice to guide you through the architecture and protocols you need to create and operate a robust, scalable network infrastructure. The book offers a vendor-neutral way to look at network design. For those interested in open networking, this book is chock-full of examples using open source software, from FRR to Ansible. In the context of a cloud native data center, you’ll examine: Clos topology Network disaggregation Network operating system choices Routing protocol choices Container networking Network virtualization and EVPN Network automation

Data-Driven Mining, Learning and Analytics for Secured Smart Cities

Author : Chinmay Chakraborty
Publisher : Springer Nature
ISBN 13 : 3030721396
Total Pages : 383 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Data-Driven Mining, Learning and Analytics for Secured Smart Cities by : Chinmay Chakraborty

Download or read book Data-Driven Mining, Learning and Analytics for Secured Smart Cities written by Chinmay Chakraborty and published by Springer Nature. This book was released on 2021-04-28 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides information on data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart cities. This book aims to attract works on multidisciplinary research spanning across the computer science and engineering, environmental studies, services, urban planning and development, social sciences and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative solutions and big data-powered applications to cope with the real world challenges for building smart cities.

Fog Computing for Intelligent Cloud IoT Systems

Author : Chandan Banerjee
Publisher : John Wiley & Sons
ISBN 13 : 1394175329
Total Pages : 391 pages
Book Rating : 4.3/5 (941 download)

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Book Synopsis Fog Computing for Intelligent Cloud IoT Systems by : Chandan Banerjee

Download or read book Fog Computing for Intelligent Cloud IoT Systems written by Chandan Banerjee and published by John Wiley & Sons. This book was released on 2024-06-04 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: FOG COMPUTING FOR INTELLIGENT CLOUD IOT SYSTEMS This book is a comprehensive guide on fog computing and how it facilitates computing, storage, and networking services Fog computing is a decentralized computing structure that connects data, devices, and the cloud. It is an extension of cloud computing and is an essential concept in IoT (Internet of Things), as it reduces the burden of processing in cloud computing. It brings intelligence and processing closer to where the data is created and transmitted to other sources. Fog computing has many benefits, such as reduced latency in processing data, better response time that helps the user’s experience, and security and privacy compliance that assures protecting the vital data in the cloud. It also reduces the cost of bandwidth, because the processing is achieved in the cloud, which reduces network bandwidth usage and increases efficiency as user devices share data in the local processing infrastructure rather than the cloud service. Fog computing has various applications across industries, such as agriculture and farming, the healthcare industry, smart cities, education, and entertainment. For example, in the agriculture industry, a very prominent example is the SWAMP project, which stands for Smart Water Management Platform. With fog computing’s help, SWAMP develops a precision-based smart irrigation system concept used in agriculture, minimizing water wastage. This book is divided into three sections. The first section studies fog computing and machine learning, covering fog computing architecture, application perspective, computational offloading in mobile cloud computing, intelligent Cloud-IoT systems, machine learning fundamentals, and data visualization. The second section focuses on applications and analytics, spanning various applications of fog computing, such as in healthcare, Industry 4.0, cancer cell detection systems, smart farming, and precision farming. This section also covers analytics in fog computing using big data and patient monitoring systems, and the emergence of fog computing concerning applications and potentialities in traditional and digital educational systems. Security aspects in fog computing through blockchain and IoT, and fine-grained access through attribute-based encryption for fog computing are also covered. Audience The book will be read by researchers and engineers in computer science, information technology, electronics, and communication specializing in machine learning, deep learning, the cyber world, IoT, and security systems.

World Of 5g, The (In 5 Volumes)

Author :
Publisher : World Scientific
ISBN 13 : 9811250197
Total Pages : 736 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis World Of 5g, The (In 5 Volumes) by :

Download or read book World Of 5g, The (In 5 Volumes) written by and published by World Scientific. This book was released on 2022-04-07 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: 5G is becoming a critically important supporting technology for industrial evolvement.The World of 5G series consists of five salient volumes — Internet of Everything, Intelligent Manufacturing, Intelligent Home, Intelligent Transportation, and Intelligent Medicine.Aim to capture new opportunities brought by 5G, this compendium set focuses on the key technologies, requirements, users' experiences, industry applications, and industrial reforms from the perspective of experts, and comprehensively introduces the related knowledge of 5G.These reference volumes inform readers the essences of 5G, potential changes to the development of public life and society brought by 5G, as well as the potential security and risks such as the legal, moral and ethical aspects.The set also prominently reflects the latest business status in different industrial and social fields, and the great changes that follow.

World Of 5g, The - Volume 1: Internet Of Everything

Author : Wenquan Che
Publisher : World Scientific
ISBN 13 : 9811244154
Total Pages : 143 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis World Of 5g, The - Volume 1: Internet Of Everything by : Wenquan Che

Download or read book World Of 5g, The - Volume 1: Internet Of Everything written by Wenquan Che and published by World Scientific. This book was released on 2022-04-07 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: 5th Generation (5G) technology has been regarded as a critically important supporting technology for industrial evolution. This book begins by tracing the development of 5G mobile communication, including the characteristics and limitations of different editions.It then covers the technical characteristics of 5G and its possible potential applications in every aspect of our lives, as well as projections of lives after 5G.Further to the technical introduction, the authors also look into the social domination of 5G technology and its implications.

The 7th International Conference on Information Science, Communication and Computing

Author : Xuesong Qiu
Publisher : Springer Nature
ISBN 13 : 9819971616
Total Pages : 362 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis The 7th International Conference on Information Science, Communication and Computing by : Xuesong Qiu

Download or read book The 7th International Conference on Information Science, Communication and Computing written by Xuesong Qiu and published by Springer Nature. This book was released on 2023-11-02 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: This conference proceedings is a collection of the accepted papers of ISCC2023 - the 7th International Conference on Information Science, Communication and Computing held in Chongqing, China, 2-5 June 2023. The topics focus on intelligent information science and technology, artificial intelligence and intelligent systems, cloud computing and big data, smart computing and communication technology, wireless network, and cyber security. Each part can be used as an excellent reference by industry practitioners, university faculties, research fellows, and undergraduate and graduate students who need to build a knowledge base of the latest advances and state of the practice in the topics covered by this conference proceedings. This will enable them to build, maintain and manage systems of high reliability and complexity. We would like to thank the authors for their hard work and dedication, and the reviewers for ensuring that only the highest quality papers were selected.

Big Data, Machine Learning, and Applications

Author : Malaya Dutta Borah
Publisher : Springer Nature
ISBN 13 : 9819934818
Total Pages : 758 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Big Data, Machine Learning, and Applications by : Malaya Dutta Borah

Download or read book Big Data, Machine Learning, and Applications written by Malaya Dutta Borah and published by Springer Nature. This book was released on 2024-01-06 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes refereed proceedings of the Second International Conference on Big Data, Machine Learning, and Applications, BigDML 2021. The volume focuses on topics such as computing methodology; machine learning; artificial intelligence; information systems; security and privacy. This volume will benefit research scholars, academicians, and industrial people who work on data storage and machine learning.

Biorefinery and Industry 4.0: Empowering Sustainability

Author : Anuj Kumar Chandel
Publisher : Springer Nature
ISBN 13 : 303151601X
Total Pages : 385 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Biorefinery and Industry 4.0: Empowering Sustainability by : Anuj Kumar Chandel

Download or read book Biorefinery and Industry 4.0: Empowering Sustainability written by Anuj Kumar Chandel and published by Springer Nature. This book was released on with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Edge Analytics

Author : Ripon Patgiri
Publisher : Springer Nature
ISBN 13 : 9811900191
Total Pages : 720 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Edge Analytics by : Ripon Patgiri

Download or read book Edge Analytics written by Ripon Patgiri and published by Springer Nature. This book was released on 2022-04-03 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes refereed proceedings of the 26th annual International Conference on Advanced Computing and Communications (ADCOM 2020). ADCOM, the flagship Systems Conference of the ACCS, is a major annual international meeting that draws leading scientists and researchers in computational and communications engineering from across industry and academia. The proceedings highlight the growing importance of large-scale systems engineering and discuss leading-edge research and trends. The main theme of ADCOM 2020 is Edge Analytics. The book includes novel contributions and latest developments from researchers across industry and academia who are working in security, privacy, and data analytics from both technological and social perspectives. The book serves as a valuable reference resource for academics and researchers across the globe.

Proceedings of International Conference on Emerging Technologies and Intelligent Systems

Author : Mostafa Al-Emran
Publisher : Springer Nature
ISBN 13 : 3030859908
Total Pages : 1024 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Proceedings of International Conference on Emerging Technologies and Intelligent Systems by : Mostafa Al-Emran

Download or read book Proceedings of International Conference on Emerging Technologies and Intelligent Systems written by Mostafa Al-Emran and published by Springer Nature. This book was released on 2021-12-02 with total page 1024 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book sheds light on the emerging research trends in intelligent systems and their applications. It mainly focuses on four different themes, including Artificial Intelligence and Soft Computing, Information Security and Networking, Medical Informatics, and Advances in Information Systems. Each chapter contributes to the aforementioned themes by discussing the recent design, developments, and modifications of intelligent systems and their applications.

Shaping Future 6G Networks

Author : Emmanuel Bertin
Publisher : John Wiley & Sons
ISBN 13 : 1119765536
Total Pages : 340 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Shaping Future 6G Networks by : Emmanuel Bertin

Download or read book Shaping Future 6G Networks written by Emmanuel Bertin and published by John Wiley & Sons. This book was released on 2021-11-04 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Shaping Future 6G Networks Discover the societal and technology drivers contributing to build the next generation of wireless telecommunication networks Shaping Future 6G Networks: Needs, Impacts, and Technologies is a holistic snapshot on the evolution of 5G technologies towards 6G. With contributions from international key players in industry and academia, the book presents the hype versus the realistic capabilities of 6G technologies, and delivers cutting-edge business and technological insights into the future wireless telecommunications landscape. You’ll learn about: Forthcoming demand for post 5G networks, including new requirements coming from small and large businesses, manufacturing, logistics, and automotive industry Societal implications of 6G, including digital sustainability, strategies for increasing energy efficiency, as well as future open networking ecosystems Impacts of integrating non-terrestrial networks to build the 6G architecture Opportunities for emerging THz radio access technologies in future integrated communications, positioning, and sensing capabilities in 6G Design of highly modular and distributed 6G core networks driven by the ongoing RAN-Core integration and the benefits of AI/ML-based control and management Disruptive architectural considerations influenced by the Post-Shannon Theory The insights in Shaping Future 6G Networks will greatly benefit IT engineers and managers focused on the future of networking, as well as undergraduate and graduate engineering students focusing on the design, implementation, and management of mobile networks and applications.

6G Security Education and Multidisciplinary Implementation

Author : Pandey, Binay Kumar
Publisher : IGI Global
ISBN 13 :
Total Pages : 391 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis 6G Security Education and Multidisciplinary Implementation by : Pandey, Binay Kumar

Download or read book 6G Security Education and Multidisciplinary Implementation written by Pandey, Binay Kumar and published by IGI Global. This book was released on 2024-08-09 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advent of 6G technology introduces significant security challenges that must be addressed to ensure its safe and effective implementation. The increased complexity of 6G infrastructure, encompassing a vast array of devices and networks, expands the potential attack surface, making it more vulnerable to cyber threats. Privacy concerns are heightened with the massive data flow, necessitating stringent protection measures. These rapid developments are outpacing current educational frameworks, highlighting the need for updated programs to equip cybersecurity professionals with the skills to address these challenges. 6G Security Education and Multidisciplinary Implementation explores the critical intersection of technology, security, and education. It provides insights into the implementation of 6G technologies as well as frameworks for security education. Covering topics such as 6G education, learning experience, and privacy concerns, this book is a valuable resource for educators, academicians, scholars, security experts, post-graduate students, pre-service teachers, industry professionals, and researchers.