Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 126,71
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Institution of Engineering and Technology, GB, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
EUR 129,10
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Aggiungi al carrelloHardback. Condizione: 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.
Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Da: California Books, Miami, FL, U.S.A.
EUR 129,63
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 130,49
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 138,61
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 138,73
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 153,87
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Aggiungi al carrelloCondizione: New. In.
Lingua: Inglese
Editore: Institution of Engineering and Technology, GB, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
EUR 138,63
Quantità: Più di 20 disponibili
Aggiungi al carrelloHardback. Condizione: 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.
Lingua: Inglese
Editore: Inst of Engineering & Technology, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Da: Revaluation Books, Exeter, Regno Unito
EUR 174,73
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 350 pages. 9.21x6.14x1.00 inches. In Stock.
Lingua: Inglese
Editore: INSTITUTION OF ENGINEERING & T, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Da: moluna, Greven, Germania
EUR 167,79
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Aggiungi al carrelloGebunden. Condizione: 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.
Lingua: Inglese
Editore: Institution Of Engineering & Technology Nov 2022, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 206,05
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Neuware - 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.
Lingua: Inglese
Editore: Institution of Engineering and Technology, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 156,47
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Aggiungi al carrelloHRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Lingua: Inglese
Editore: Institution of Engineering and Technology, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 163,28
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Lingua: Inglese
Editore: Institution of Engineering and Technology, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 156,51
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Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.