• Complain

Sunil Kumar (editor) - Intelligent Network Design Driven by Big Data Analytics, IoT, AI and Cloud Computing (Computing and Networks)

Here you can read online Sunil Kumar (editor) - Intelligent Network Design Driven by Big Data Analytics, IoT, AI and Cloud Computing (Computing and Networks) full text of the book (entire story) in english for free. Download pdf and epub, get meaning, cover and reviews about this ebook. year: 2022, publisher: The Institution of Engineering and Technology, genre: Computer. Description of the work, (preface) as well as reviews are available. Best literature library LitArk.com created for fans of good reading and offers a wide selection of genres:

Romance novel Science fiction Adventure Detective Science History Home and family Prose Art Politics Computer Non-fiction Religion Business Children Humor

Choose a favorite category and find really read worthwhile books. Enjoy immersion in the world of imagination, feel the emotions of the characters or learn something new for yourself, make an fascinating discovery.

Sunil Kumar (editor) Intelligent Network Design Driven by Big Data Analytics, IoT, AI and Cloud Computing (Computing and Networks)

Intelligent Network Design Driven by Big Data Analytics, IoT, AI and Cloud Computing (Computing and Networks): summary, description and annotation

We offer to read an annotation, description, summary or preface (depends on what the author of the book "Intelligent Network Design Driven by Big Data Analytics, IoT, AI and Cloud Computing (Computing and Networks)" wrote himself). If you haven't found the necessary information about the book — write in the comments, we will try to find it.

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.

Sunil Kumar (editor): author's other books


Who wrote Intelligent Network Design Driven by Big Data Analytics, IoT, AI and Cloud Computing (Computing and Networks)? Find out the surname, the name of the author of the book and a list of all author's works by series.

Intelligent Network Design Driven by Big Data Analytics, IoT, AI and Cloud Computing (Computing and Networks) — read online for free the complete book (whole text) full work

Below is the text of the book, divided by pages. System saving the place of the last page read, allows you to conveniently read the book "Intelligent Network Design Driven by Big Data Analytics, IoT, AI and Cloud Computing (Computing and Networks)" online for free, without having to search again every time where you left off. Put a bookmark, and you can go to the page where you finished reading at any time.

Light

Font size:

Reset

Interval:

Bookmark:

Make
Intelligent Network Design Driven by Big Data Analytics IoT AI and Cloud - photo 1
Intelligent Network Design Driven by Big Data Analytics, IoT, AI and Cloud Computing

Other volumes in this series:

Volume 1Knowledge Discovery and Data Mining M.A. Bramer (Editor)
Volume 3Troubled IT Projects: Prevention and turnaround J.M. Smith
Volume 4UML for Systems Engineering: Watching the wheels, 2nd Edition J. Holt
Volume 5Intelligent Distributed Video Surveillance Systems S.A. Velastin and P. Remagnino (Editors)
Volume 6Trusted Computing C. Mitchell (Editor)
Volume 7SysML for Systems Engineering J. Holt and S. Perry
Volume 8Modelling Enterprise Architectures J. Holt and S. Perry
Volume 9Model-Based Requirements Engineering J. Holt, S. Perry and M. Bownsword
Volume 13Trusted Platform Modules: Why, when and how to use them A. Segall
Volume 14Foundations for Model-based Systems Engineering: From Patterns to Models J. Holt, S. Perry and M. Bownsword
Volume 15Big Data and Software Defined Networks J. Taheri (Editor)
Volume 18Modeling and Simulation of Complex Communication M. A. Niazi (Editor)
Volume 20SysML for Systems Engineering: A Model-Based Approach, 3rd Edition J. Holt and S. Perry
Volume 22Virtual Reality and Light Field Immersive Video Technologies for Real-World Applications G. Lafruit and M. Tehrani
Volume 23Data as Infrastructure for Smart Cities L. Suzuki and A. Finkelstein
Volume 24Ultrascale Computing Systems J. Carretero, E. Jeannot and A. Zomaya
Volume 25Big Data-Enabled Internet of Things M. Khan, S. Khan, A. Zomaya (Editors)
Volume 26Handbook of Mathematical Models for Languages and Computation A. Meduna, P. Horek, M. Tomko
Volume 29Blockchains for Network Security: Principles, technologies and applications H. Huang, L. Wang, Y. Wu, K. R. Choo (Editors)
Volume 32Network Classification for Traffic Management: Anomaly detection, feature selection, clustering and classification Z. Tari, A. Fahad, A. Almalawi and X. Yi
Volume 33Edge Computing: Models, technologies and applications J.Taheri and S. Deng (Editors)
Volume 34AI for Emerging Verticals: Human-robot computing, sensing and networking M. Z. Shakir and N. Ramzan (Editors)
Volume 35Big Data Recommender Systems Vol 1 & 2 O. Khalid, S. U. Khan, A. Y. Zomaya (Editors)
Volume 37Handbook of Big Data Analytics Vol 1 & 2 V. Ravi and A. K. Cherukuri (Editors)
Volume 39ReRAM-based Machine Learning H. Y, L. Ni and S. M. P. Dinakarrao
Volume 40E-learning Methodologies: Fundamentals, technologies and applications M. Goyal, R. Krishnamurthi and D. Yadav (Editors)
Volume 44Streaming Analytics: Concepts, architectures, platforms, use cases and applications P. Raj, C. Surianarayanan, K. Seerangan and G. Ghinea (Editors)
Volume 44Streaming Analytics: Concepts, architectures, platforms, use cases and applications P. Raj, A. Kumar, V. Garca Daz and N. Muthuraman (Editors)
Volume 115Ground Penetrating Radar: Improving sensing and imaging through numerical modelling X. L. Travassos, M. F. Pantoja and N. Ida
Intelligent Network Design Driven by Big Data Analytics, IoT, AI and Cloud Computing

Edited by
Sunil Kumar, Glenford Mapp and Korhan Cengiz

The Institution of Engineering and Technology

Published by The Institution of Engineering and Technology, London, United Kingdom

The Institution of Engineering and Technology is registered as a Charity in England & Wales (no. 211014) and Scotland (no. SC038698).

The Institution of Engineering and Technology 2022

First published 2022

This publication is copyright under the Berne Convention and the Universal Copyright Convention. All rights reserved. Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may be reproduced, stored or transmitted, in any form or by any means, only with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms of licences issued by the Copyright Licensing Agency. Enquiries concerning reproduction outside those terms should be sent to the publisher at the undermentioned address:

The Institution of Engineering and Technology
Futures Place
Kings Way, Stevenage
Herts, SG1 2UA, United Kingdom

www.theiet.org

While the authors and publisher believe that the information and guidance given in this work are correct, all parties must rely upon their own skill and judgement when making use of them. Neither the author nor publisher assumes any liability to anyone for any loss or damage caused by any error or omission in the work, whether such an error or omission is the result of negligence or any other cause. Any and all such liability is disclaimed.

The moral rights of the author to be identified as author of this work have been asserted by him in accordance with the Copyright, Designs and Patents Act 1988.

British Library Cataloguing in Publication Data
A catalogue record for this product is available from the British Library

ISBN 978-1-83953-533-8 (hardback)
ISBN 978-1-83953-534-5 (PDF)

Typeset in India by Exeter Premedia Services Private Limited
Printed in the UK by CPI Group (UK) Ltd, Croydon
Cover Image: Yuichiro Chino via Getty Images

Contents
About the Editors

Sunil Kumar is an associate professor of Computer Science and Engineering at Amity University, Noida campus, India. His research interests include computer networks, distributed systems, wireless sensor networks, SDN, and big data. He is industry CCNA & CCNP certified. He is a member of the IET, CSTA, IAER, IAENG. He holds a PhD in energy optimization in distributed wireless sensor networks from Amity University, Noida India.

Glenford Mapp is an associate professor at Middlesex University, London, UK. His primary expertise is in the development of new technologies for mobile and distributed systems such as service platforms, cloud computing, network addressing and transport protocols for local environments. He had previously worked for AT&T Cambridge Laboratories for ten years. He received his PhD in computer science from the University of Cambridge, UK.

Korhan Cengiz is an assistant professor of electrical and electronics engineering at Trakya University, Turkey. His research interests include computer networks, big data, wireless sensor networks, wireless communications, routing protocols, statistical signal processing, indoor positioning systems, power electronics and machine learning. He is an associate editor of Interdisciplinary Sciences: Computational Life Sciences, handling editor of Microprocessors and Microsystems, and associate editor of IET Electronics Letters, IET Networks

Next page
Light

Font size:

Reset

Interval:

Bookmark:

Make

Similar books «Intelligent Network Design Driven by Big Data Analytics, IoT, AI and Cloud Computing (Computing and Networks)»

Look at similar books to Intelligent Network Design Driven by Big Data Analytics, IoT, AI and Cloud Computing (Computing and Networks). We have selected literature similar in name and meaning in the hope of providing readers with more options to find new, interesting, not yet read works.


Reviews about «Intelligent Network Design Driven by Big Data Analytics, IoT, AI and Cloud Computing (Computing and Networks)»

Discussion, reviews of the book Intelligent Network Design Driven by Big Data Analytics, IoT, AI and Cloud Computing (Computing and Networks) and just readers' own opinions. Leave your comments, write what you think about the work, its meaning or the main characters. Specify what exactly you liked and what you didn't like, and why you think so.