Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning

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COMMUNICATION NETWORKS AND SERVICE MANAGEMENT IN THE ERA OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING Discover the impact that new technologies are having on communication systems with this up-to-date and one-stop resource
a comprehensive overview of the impact of artificial intelligence (AI) and machine learning (ML) on service and network management. Beginning with a fulsome description of ML and AI, the book moves on to discuss management models, architectures, and frameworks. The authors also explore how AI and ML can be used in service management functions like the generation of workload profiles, service provisioning, and more. The book includes a handpicked selection of applications and case studies, as well as a treatment of emerging technologies the authors predict could have a significant impact on network and service management in the future. Statistical analysis and data mining are also discussed, particularly with respect to how they allow for an improvement of the management and security of IT systems and networks. Readers will also enjoy topics like: A thorough introduction to network and service management, machine learning, and artificial intelligence An exploration of artificial intelligence and machine learning for management models, including autonomic management, policy-based management, intent based ­management, and network virtualization-based management Discussions of AI and ML for architectures and frameworks, including cloud ­systems, software defined networks, 5G and 6G networks, and Edge/Fog networks An examination of AI and ML for service management, including the automatic ­generation of workload profiles using unsupervised learning Perfect for information and communications technology educators, Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning will also earn a place in the libraries of engineers and professionals who seek a structured reference on how the emergence of artificial intelligence and machine learning techniques is affecting service and network management.

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IEEE Press445 Hoes Lane Piscataway, NJ 08854
IEEE Press Editorial BoardEkram Hossain, Editor in Chief
Jón Atli Benediktsson Xiaoou Li Jeffrey Reed
Anjan Bose Lian Yong Diomidis Spinellis
David Alan Grier Andreas Molisch Sarah Spurgeon
Elya B. Joffe Saeid Nahavandi Ahmet Murat Tekalp

Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning

Edited by Nur Zincir–Heywood, Marco Mellia, and Yixin Diao

Copyright 2021 by The Institute of Electrical and Electronics Engineers Inc - фото 2 Copyright 2021 by The Institute of Electrical and Electronics Engineers Inc - фото 3

Copyright © 2021 by The Institute of Electrical and Electronics Engineers, Inc. All rights reserved.

Published by John Wiley & Sons, Inc., Hoboken, New Jersey.

Published simultaneously in Canada.

No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning, or otherwise, except as permitted under Section 107 or 108 of the 1976 United States Copyright Act, without either the prior written permission of the Publisher, or authorization through payment of the appropriate per‐copy fee to the Copyright Clearance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923, (978) 750‐8400, fax (978) 750‐4470, or on the web at www.copyright.com. Requests to the Publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, (201) 748‐6011, fax (201) 748‐6008, or online at http://www.wiley.com/go/permission.

Limit of Liability/Disclaimer of Warranty: While the publisher and author have used their best efforts in preparing this book, they make no representations or warranties with respect to the accuracy or completeness of the contents of this book and specifically disclaim any implied warranties of merchantability or fitness for a particular purpose. No warranty may be created or extended by sales representatives or written sales materials. The advice and strategies contained herein may not be suitable for your situation. You should consult with a professional where appropriate. Neither the publisher nor author shall be liable for any loss of profit or any other commercial damages, including but not limited to special, incidental, consequential, or other damages.

For general information on our other products and services or for technical support, please contact our Customer Care Department within the United States at (800) 762‐2974, outside the United States at (317) 572‐3993 or fax (317) 572‐4002.

Wiley also publishes its books in a variety of electronic formats. Some content that appears in print may not be available in electronic formats. For more information about Wiley products, visit our web site at www.wiley.com.

Library of Congress Cataloging‐in‐Publication Data:

Names: Zincir‐Heywood, Nur, editor. | Mellia, Marco, editor. | Diao, Yixin,

1970‐ editor.

Title: Communication networks and service management in the era of

artificial intelligence and machine learning / edited by Nur

Zincir‐Heywood, Marco Mellia, and Yixin Diao.

Description: Hoboken, New Jersey : Wiley‐IEEE Press, [2021] | Series: IEEE

Press series on networks and service management | Includes

bibliographical references and index.

Identifiers: LCCN 2021032407 (print) | LCCN 2021032408 (ebook) | ISBN

9781119675501 (cloth) | ISBN 9781119675440 (adobe pdf) | ISBN

9781119675518 (epub)

Subjects: LCSH: Computer networks. | Artificial intelligence. | Machine

learning.

Classification: LCC TK5105.5 .C5998 2021 (print) | LCC TK5105.5 (ebook) |

DDC 004.6–dc23

LC record available at https://lccn.loc.gov/2021032407

LC ebook record available at https://lccn.loc.gov/2021032408

Cover Design: Wiley

Cover Image: © Bill Donnelley/WT Design

Editor Biographies

Nur Zincir‐Heywoodreceived the PhD in Computer Science and Engineering in 1998. She is a full professor at the Faculty of Computer Science, Dalhousie University, Canada, where she directs the NIMS Research Lab on Network Information Management and Security. Her research interests include machine learning and artificial intelligence for cyber security, network, systems, and information analysis, topics on which she has published over 200 fully reviewed papers. She is a recipient of several best paper awards as well as the supervisor for the recipient of the IFIP/IEEE IM 2013 Best PhD Dissertation Award in Network Management. She is the co‐editor of the book “Recent Advances in Computational Intelligence in Defense and Security” and co‐author of the book “Nature‐inspired Cyber Security and Resiliency: Fundamentals, Techniques, and Applications.” She is an Associate Editor of the IEEE Transactions on Network and Service Management and Wiley's International Journal of Network Management. She has been a co‐organizer for the IEEE/IFIP International Workshop on Analytics for Network and Service Management since 2016. She served as Technical Program Co‐chair for the IEEE Symposium on Computational Intelligence for Security and Defence Applications in 2011, International Conference on Network Traffic Measurement and Analysis in 2018, International Conference on Network and Service Management in 2019, and she served as General Co‐chair for the International Conference on Network and Service Management in 2020. Professor Zincir‐Heywood's research record was recognized with the title of Dalhousie University Research Professor in 2021.

Marco Melliagraduated with PhD in Electronic and Telecommunication Engineering in 2001. He is a full professor at Politecnico di Torino, Italy, where he coordinates the SmartData@PoliTO center on Big Data, Machine Learning and Data Science. In 2002, he visited the Sprint Advanced Technology Laboratories in Burlingame, CA, working at the IP Monitoring Project (IPMON). In 2011, 2012, and 2013, he collaborated with Narus Inc. in Sunnyvale, CA, working on traffic monitoring and cyber‐security system design. In 2015 and 2016, he visited Cisco Systems in San Jose, CA, working on the design of cloud monitoring platforms. Professor Mellia has co‐authored over 250 papers published in international journals and presented in leading conferences, all of them in the area of communication networks. He won the IRTF ANR Prize at IETF‐88 and best paper awards at IEEE P2P'12, ACM CoNEXT'13, IEEE ICDCS'15. He participated in the program committees of several conferences including ACM SIGCOMM, ACM CoNEXT, ACM IMC, IEEE Infocom, IEEE Globecom, and IEEE ICC. He is the Area Editor of ACM CCR, IEEE Transactions on Network and Service Management and Elsevier Computer Networks. He is a Fellow of IEEE. His research interests are in the area of Internet monitoring, users' characterization, cyber security, and big data analytics applied to different areas.

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