MonB5G: AI/ML-Capable Distributed Orchestration and Management Framework for Network Slices
Résumé
Enabled by the network slicing paradigm, a wide set of vertical services are expected to populate the future mobile ecosystem while efficiently coexisting over a shared infrastructure. However, the intrinsic diversity of vertical services, together with the heterogeneity of mobile infrastructure resources, poses severe management challenges that demand deep architectural innovations to seamlessly support enhanced orchestration mechanisms based on automation, flexibility, and programmability. In this paper, we present a novel management and orchestration platform for network slices devised by the H2020 MonB5G project. The presented concept addresses the scalability of network slicing management and orchestration by using a distributed and programmable management architecture that is AI-driven. AI-enabled management operations are adopted at different levels of the management hierarchy. The proposed architecture is a significant step towards self-managed network slices.
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