Failure-Resilient and Carbon-Efficient Deployment of Microservices over the Cloud-Edge Continuum
🤖 AI Summary
This work addresses the challenge of jointly optimizing fault resilience, performance, and carbon efficiency in microservice deployment across heterogeneous and dynamic cloud-edge continua—a triad notoriously difficult to balance. To this end, we propose FREEDA, a novel toolchain that, for the first time, integrates fault resilience and carbon emission efficiency into a unified modeling framework. FREEDA continuously monitors environmental dynamics and adaptively reconfigures microservice deployments through strategies such as service migration, resource scaling, and load rebalancing. Evaluated through both simulation and real-world scenarios, our approach effectively handles resource exhaustion, node failures, and fluctuations in carbon intensity. Results demonstrate that FREEDA maintains service continuity while significantly reducing carbon emissions, achieving an optimal trade-off among resilience, performance, and sustainability.
Application Category
📝 Abstract
Deploying microservice-based applications (MSAs) on heterogeneous and dynamic Cloud-Edge infrastructures requires balancing conflicting objectives, such as failure resilience, performance, and environmental sustainability. In this article, we introduce the FREEDA toolchain, designed to automate the failure-resilient and carbon-efficient deployment of MSAs over the Cloud-Edge Continuum. The FREEDA toolchain continuously adapts deployment configurations to changing operational conditions, resource availability, and sustainability constraints, aiming to maintain the MSA quality and service continuity while reducing carbon emissions. We also introduce an experimental suite using diverse simulated and emulated scenarios to validate the effectiveness of the toolchain against real-world challenges, including resource exhaustion, node failures, and carbon intensity fluctuations. The results demonstrate FREEDA's capability to autonomously reconfigure deployments by migrating services, adjusting flavour selections, or rebalancing workloads, successfully achieving an optimal balance among resilience, efficiency, and environmental impact.
Problem
Research questions and friction points this paper is trying to address.
microservices
failure resilience
carbon efficiency
Cloud-Edge Continuum
sustainability
Innovation
Methods, ideas, or system contributions that make the work stand out.
failure-resilient deployment
carbon-efficient computing
microservices
Cloud-Edge Continuum
autonomous reconfiguration
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