Verlag: The Institution of Engineering and Technology, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Sprache: Englisch
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Verlag: The Institution of Engineering and Technology, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Sprache: Englisch
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Verlag: The Institution of Engineering and Technology, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Sprache: Englisch
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Verlag: Institution of Engineering and Technology, GB, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Sprache: Englisch
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In den WarenkorbHardback. Zustand: New. As enterprise access networks evolve with a larger number of mobile users, a wide range of devices and new cloud-based applications, managing user performance on an end-to-end basis has become rather challenging. Recent advances in big data network analytics combined with AI and cloud computing are being leveraged to tackle this growing problem. AI is becoming further integrated with software that manage networks, storage, and can compute. This edited book focuses on how new network analytics, IoTs and Cloud Computing platforms are being used to ingest, analyse and correlate a myriad of big data across the entire network stack in order to increase quality of service and quality of experience (QoS/QoE) and to improve network performance. From big data and AI analytical techniques for handling the huge amount of data generated by IoT devices, the authors cover cloud storage optimization, the design of next generation access protocols and internet architecture, fault tolerance and reliability in intelligent networks, and discuss a range of emerging applications. This book will be useful to researchers, scientists, engineers, professionals, advanced students and faculty members in ICTs, data science, networking, AI, machine learning and sensing. It will also be of interest to professionals in data science, AI, cloud and IoT start-up companies, as well as developers and designers.
Verlag: The Institution of Engineering and Technology, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Sprache: Englisch
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Verlag: The Institution of Engineering and Technology, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Sprache: Englisch
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Verlag: The Institution of Engineering and Technology, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Sprache: Englisch
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Verlag: Institution of Engineering and Technology, GB, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
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In den WarenkorbHardback. Zustand: New. As enterprise access networks evolve with a larger number of mobile users, a wide range of devices and new cloud-based applications, managing user performance on an end-to-end basis has become rather challenging. Recent advances in big data network analytics combined with AI and cloud computing are being leveraged to tackle this growing problem. AI is becoming further integrated with software that manage networks, storage, and can compute. This edited book focuses on how new network analytics, IoTs and Cloud Computing platforms are being used to ingest, analyse and correlate a myriad of big data across the entire network stack in order to increase quality of service and quality of experience (QoS/QoE) and to improve network performance. From big data and AI analytical techniques for handling the huge amount of data generated by IoT devices, the authors cover cloud storage optimization, the design of next generation access protocols and internet architecture, fault tolerance and reliability in intelligent networks, and discuss a range of emerging applications. This book will be useful to researchers, scientists, engineers, professionals, advanced students and faculty members in ICTs, data science, networking, AI, machine learning and sensing. It will also be of interest to professionals in data science, AI, cloud and IoT start-up companies, as well as developers and designers.
Verlag: Inst of Engineering & Technology, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Sprache: Englisch
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Verlag: INSTITUTION OF ENGINEERING & T, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
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In den WarenkorbGebunden. Zustand: New. KlappentextThis book shows how innovations in network analytics, IoTs and cloud computing platforms are being used to ingest, analyse and correlate a myriad of big data across the entire network stack in order to increase quality of s.
Verlag: Institution Of Engineering & Technology Nov 2022, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Sprache: Englisch
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In den WarenkorbBuch. Zustand: Neu. Neuware - This book shows how innovations in network analytics, IoTs and cloud computing platforms are being used to ingest, analyse and correlate a myriad of big data across the entire network stack in order to increase quality of service and quality of experience (QoS/QoE) and to improve network performance.
Verlag: Institution of Engineering and Technology, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Sprache: Englisch
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In den WarenkorbHRD. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Verlag: Institution of Engineering and Technology, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Sprache: Englisch
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In den WarenkorbHRD. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Verlag: Institution of Engineering and Technology, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
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