KPI-aware service provisioning for remote industrial control systems management

The advent of B5G/6G communication infrastructures answers to the requirements posed by emerging use cases and business models, such as Industry 4.0 and autonomous guided vehicles, which impose a set of highly demanding Key Performance Indicators (KPIs). In this regard, time-engineered applications are of particular importance. Said applications, while do not may impose very demanding latencies, they impose a strict control over them to ensure a deterministic service performance. This has given rise to the concept of Deterministic Networking that relies on adding deterministic capabilities to all involved network infrastructures. In general, optical networks are seen as one of the main enablers of latency and jitter-bounded communications, due to their intrinsic deterministic nature. In the framework of Industry 4.0 use cases, such capability can be exploited to enable remote control of optically interconnected smart factories, contributing this way to reduce both CAPEX and OPEX. However, the estimation of KPIs across optically interconnected smart factories/client domains and the provisioning of end-to-end (E2E) services arises several challenges. In this work, we present firstly multiple service provisioning schemas (single-vs multi-path) leveraging the capabilities of the Software Defined Networking (SDN) paradigm. Then, we provide tools and algorithms for best-case KPI estimation and resource allocation decision and analyze the impact of supporting heterogeneous KPIs into the obtained overall network performance.