Demonstrating fluid connectivity for Computing Anywhere with 6G Cloud Networks
conference proceedings
Anticipating a highly customized and flexible virtual service portfolio of 6G networks, unprecedented complexity will challenge network manageability if left to human operators. Automation and autonomy are key enablers of next generation cloud networks. With this in mind, we present a demonstrator of ML-assisted user plane resource management and orchestration. We considered a static resource management policy and implemented an intelligent agent that manages a virtual router location with the goal to minimize the latency of mobile users in a distributed network. The demonstrator illustrates a bottom-up way forward to develop an artificial network engineer that will improve the manageability of next generation cloud networking starting from small scale within network partitions, but effectively creating a fluid wide-area connectivity for computing anywhere with 6G cloud networks. We identify key open questions that need to be answered in order for the solution to scale to the incoming 6G cloud networks.
Topics
TNO Identifier
990719
Repository link
Source
2022 IEEE Globecom Workshops (GC Wkshps)
Publisher
IEEE
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