Service Orchestration in the Computing Continuum: Structural Challenges and Vision
🤖 AI Summary
This work addresses the escalating complexity of service orchestration in heterogeneous and dynamic continuum computing environments spanning from edge to cloud, where the absence of unified autonomous mechanisms and standardized evaluation criteria remains a critical challenge. The paper proposes a novel self-organizing service orchestration paradigm grounded in active inference—a first-time application of this framework to the domain—enabling autonomous quality-of-service optimization through continuous environmental state perception. The study systematically analyzes prevailing structural challenges, exposes limitations of existing approaches, and establishes a comprehensive research roadmap featuring a standardized simulation environment and evaluation framework. This foundation paves the way for developing resilient, scalable autonomous orchestration systems capable of adapting to the evolving demands of continuum computing infrastructures.
Application Category
📝 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 environments for comparing the performance of orchestration mechanisms. Together, the challenges outline a research roadmap toward resilient and scalable service orchestration in the CC.
Problem
Research questions and friction points this paper is trying to address.
Service Orchestration
Computing Continuum
Structural Challenges
Heterogeneous Infrastructure
Standardized Evaluation
Innovation
Methods, ideas, or system contributions that make the work stand out.
Active Inference
Service Orchestration
Computing Continuum
Self-organizing Services
Simulation Framework
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