Aceso: Carbon-Aware and Cost-Effective Microservice Placement for Small and Medium-sized Enterprises
Georgia Christofidi, Francisco \'Alvarez-Terribas, Ioannis Roumpos, Nicolas Kourtellis, Jesus Oma\~na Iglesias, Thaleia Dimitra Doudali

TL;DR
Aceso is a dynamic, region-aware microservice placement system that reduces carbon emissions and costs for SMEs by optimizing deployment considering carbon intensity, cost, and latency constraints.
Contribution
It introduces a scalable, insight-based optimization approach for carbon- and cost-aware microservice placement tailored for SMEs with regional infrastructure.
Findings
Reduces carbon emissions by 37.4% in real-world tests.
Lowers operational costs by 3.6%.
Maintains latency and SLOs effectively.
Abstract
Microservices are a dominant architecture in cloud computing, offering scalability and modularity, but also posing complex deployment challenges. As data centers contribute significantly to global carbon emissions, carbon-aware scheduling has emerged as a promising mitigation strategy. However, most existing solutions target batch, high-performance, or serverless workloads and assume access to global-scale infrastructure. Such an assumption does not hold for many national or regional small to medium-sized enterprises (SMEs) with microservice applications, which represent the real-world majority. In this paper, we present Aceso, an Adaptive Carbon- and Efficiency-aware placement for microservices that considers carbon, cost, and latency constraints. Aceso dynamically places microservices across geographically constrained regions using a scalable optimization strategy that leverages…
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Taxonomy
TopicsCloud Computing and Resource Management · Software System Performance and Reliability · Green IT and Sustainability
