Service Orchestration in the Computing Continuum: Structural Challenges and Vision
Boris Sedlak, V\'ictor Casamayor Pujol, Ildefons Magrans de Abril, Praveen Kumar Donta, Adel N. Toosi, and Schahram Dustdar

TL;DR
This paper discusses the structural challenges of orchestrating services across the Computing Continuum from Edge to Cloud and proposes a vision for autonomous, self-organizing orchestration using concepts like Active Inference.
Contribution
It identifies key structural problems in CC service orchestration and envisions a novel approach using neuroscience-inspired Active Inference for autonomous management.
Findings
Highlights the complexity of heterogeneous infrastructure
Proposes Active Inference as a potential solution
Outlines a research roadmap for scalable orchestration
Abstract
The Computing Continuum (CC) integrates different layers of processing infrastructure, from Edge to Cloud, to optimize service quality through ubiquitous and reliable computation. Compared to central architectures, however, heterogeneous and dynamic infrastructure increases the complexity for service orchestration. To guide research, this article first summarizes structural problems of the CC, and then, envisions an ideal solution for autonomous service orchestration across the CC. As one instantiation, we show how Active Inference, a concept from neuroscience, can support self-organizing services in continuously interpreting their environment to optimize service quality. Still, we conclude that no existing solution achieves our vision, but that research on service orchestration faces several structural challenges. Most notably: provide standardized simulation and evaluation…
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Taxonomy
TopicsIoT and Edge/Fog Computing · Software System Performance and Reliability · Service-Oriented Architecture and Web Services
