Network Management 2030: Operations and Control of Network 2030 Services
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Network Management 2030: Operations and Control of Network 2030 Services Alexander Clemm1 · Mohamed Faten Zhani2 · Raouf Boutaba3 Received: 7 December 2019 / Revised: 17 February 2020 / Accepted: 21 February 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract The networking landscape is expected to undergo profound changes over the course of the next decade. New network services are expected to emerge that will enable new applications such as the Tactile Internet, Holographic-Type Communications, or Tele-Driving. Many of these services will be characterized by very high degrees of precision with which end-to-end service levels must be supported. This will have profound implications on the management of those networks and services, from the need to support new methods for assurance of ultra-high-precision services to the need for new network programming models that will allow the industry to move beyond DevOps and SDN towards User-Defined Networking. This article analyzes those implications and provides an overview of challenges along with possible solution approaches and opportunities for research. Keywords High precision networking · Intent · Service assurance · Network operations · Service management · Network programming models · BPP · New IP · Research challenges
* Alexander Clemm [email protected]; [email protected]
Mohamed Faten Zhani [email protected]; Mohamed‑[email protected]
Raouf Boutaba [email protected] 1
Futurewei Technologies, Inc., 2330 Central Expressway, Santa Clara, CA 95050, USA
2
Department of Software and IT Engineering, Ecole de Technology Supérieure de Montreal, 1100 Rue Notre‑Dame Ouest, Montréal, QC H3C 1K3, Canada
3
David R. Sheraton School of Computer Science, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L 3G1, Canada
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Vol.:(0123456789)
Journal of Network and Systems Management
1 Introduction The networking industry is currently at an inflection point. 5G is being rolled out, leading to unprecedented bandwidth and ultra-reliable low-latency communications at the mobile edge that will enable many new applications. The Internet of Things (IoT) is exploding, transitioning our environment in cities, offices, and living spaces from static islands that are filled with passive objects into smart environments where everything becomes smart and interconnected. Artificial Intelligence and Machine Learning are finding real-world applications in the networking domain, promising not only greater operational efficiencies but improving networking services, for example, making communications more secure by automatically identifying and isolating threats. At the same time, new challenges abound. Traditional business models and ecosystems of the networking industry are being threatened: providers of overthe-top services as well as new unregulated entrants (such as Amazon, Facebook, and Google) are challenging established service providers by providing offerings such as software-as-a-service that increasingly obviate the n
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