Guest Editorial: Special issue on data analytics and machine learning for network and service management-Part II
Author(s)
Type
Journal Article
Abstract
Network and Service analytics can harness the immense stream of operational data from clouds, to services, to social and communication networks. In the era of big data and connected devices of all varieties, analytics and machine learning have found ways to improve reliability, configuration, performance, fault and security management. In particular, we see a growing trend towards using machine learning, artificial intelligence and data analytics to improve operations and management of information technology services, systems and networks.
Date Issued
2021-03-01
Date Acceptance
2021-03-01
Citation
IEEE Transactions on Network and Service Management, 2021, 18 (1), pp.775-779
ISSN
1932-4537
Publisher
Institute of Electrical and Electronics Engineers
Start Page
775
End Page
779
Journal / Book Title
IEEE Transactions on Network and Service Management
Volume
18
Issue
1
Copyright Statement
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000628914700052&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Technology
Computer Science, Information Systems
Computer Science
EDITORIAL SPECIAL SECTION
BIG DATA ANALYTICS
Publication Status
Published
Date Publish Online
2021-03-10