Early Pre-FEC BER Degradation Detection to Meet Committed QoS

Early optical layer BER degradation detection is proposed to trigger affected demands re-routing, targeting at reducing SLA violation. Results show that the proposed detection and re-routing algoritluns noticeably reduce bandwidth and number of demands affected. (C) 2017 Optical Society of Americ

End-to-end intent-based networking

Abstract To reap its full benefits, 5G must evolve into a scalable decentralized architecture by exploiting intelligence ubiquitously and securely across different technologies, network layers, and segments. In this article, we propose end-to-end and ubiquitous secure machine learning (ML)-powered intent-based networking (IBN). The IBN framework is aware of its state and context to autonomously take proactive actions for service assurance. It is integrated in a zero-touch control and orchestration framework featuring an ML function orchestrator to manage ML pipelines. The objective is to create an elastic and dynamic infrastructure supporting per-domain and end-to-end network and services operation. The solution is supported by a radio access network and forwarding plane, and a cloud/edge virtualization infrastructure with ML acceleration. The resulting framework supports application-level resilience and intelligence through replication and elasticity. An illustrative intelligent application use case is presented