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Type Journal Article
Scope Discipline-based scholarship
Title Autonomic Communications in Software-Driven Networks
Organization Unit
Authors
  • Zhongliang Zhao
  • Eryk Jerzy Schiller
  • Eirini Kalogeiton
  • Torsten Braun
  • Burkhard Stiller
  • Mevlut Turker Garip
  • Joshua Joy
  • Mario Gerla
  • Nabeel Akhtar
  • Ibrahim Matta
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
Journal Title IEEE Journal on Selected Areas in Communications
Publisher Institute of Electrical and Electronics Engineers
Geographical Reach international
ISSN 0733-8716
Volume 35
Number 11
Page Range 2431 - 2445
Date 2017
Abstract Text Autonomic communications aim to provide the quality-of-service in networks using self-management mechanisms. It inherits many characteristics from autonomic computing, in particular, when communication systems are running as specialized applications in software-defined networking (SDN) and network function virtualization (NFV)-enabled cloud environments. This paper surveys autonomic computing and communications in the context of software-driven networks, i.e., networks based on SDN/NFV concepts. Autonomic communications create new challenges in terms of security, operations, and business support. We discuss several goals, research challenges, and development issues on self-management mechanisms and architectures in software-driven networks. This paper covers multiple perspectives of autonomic communications in software-driven networks, such as automatic testing, integration, and deployment of network functions. We also focus on self-management and optimization, which make use of machine learning techniques.
Free access at Official URL
Digital Object Identifier 10.1109/JSAC.2017.2760354
Other Identification Number merlin-id:15656
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