Autonomic Communications in Software-Driven Networks

被引：27

作者：

Zhao, Zhongliang ^{[1
]}

Schiller, Eryk ^{[1
]}

Kalogeiton, Eirini ^{[1
]}

Braun, Torsten ^{[1
]}

Stiller, Burkhard ^{[2
]}

Garip, Mevlut Turker ^{[3
]}

Joy, Joshua ^{[3
]}

Gerla, Mario ^{[3
]}

Akhtar, Nabeel ^{[4
]}

Matta, Ibrahim ^{[4
]}

机构：

[1] Univ Bern, CH-3012 Bern, Switzerland

[2] Univ Zurich, CH-8050 Zurich, Switzerland

[3] Univ Calif Los Angeles, Los Angeles, CA 90095 USA

[4] Boston Univ, Boston, MA 02215 USA

来源：

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS | 2017年 / 35卷 / 11期

关键词：

Autonomic communications; autonomic computing; software-defined networking (SDN); network function virtualization (NFV); self-management; self-optimization; testing; autonomic security; operation and business support system (OSS/BSS); COGNITIVE RADIO; CHALLENGE; SERVICE; VISION;

D O I：

10.1109/JSAC.2017.2760354

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：2431 / 2445

页数：15

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