Microns: Connection Subsetting for Microservices in Shared Clusters

Microservice applications typically employ a technique known as connection subsetting to ensure resource-efficient and stable communication with persistent connections. However, the interdependency in microservice applications and complex runtime environments pose significant challenges for effective connection subsetting, rendering traditional strategies notably inefficient. In this paper, we present Microns, a connection subsetting framework designed for microservices in shared clusters. At the application level, Microns effectively handles the complex call dependencies in applications and meticulously determines the number of connections maintained by each pair of dependent microservices. At the microservice level, Microns manages the connection relationships between dependent containers according to their respective contributions to end-to-end latency. Experiments across microservice benchmarks demonstrate that Microns achieves a significant reduction on end-to-end latency by over 74.4%.

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Publication Details

Journal
ACM SIGMETRICS Performance Evaluation Review
Published
2025-06-16
DOI
https://doi.org/10.1145/3744970.3727294
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Microns: Connection Subsetting for Microservices in Shared Clusters

Fei Xu, Fangming Liu, J. S. Li, Xu Chen et al.
ACM SIGMETRICS Performance Evaluation Review
Cloud Computing and Resource Management
article

Microns: Connection Subsetting for Microservices in Shared Clusters

Fei Xu, Fangming Liu, J. S. Li, Xu Chen, Zhi Zhou, Jianxiong Liao
article en

Abstract

Microservice applications typically employ a technique known as connection subsetting to ensure resource-efficient and stable communication with persistent connections. However, the interdependency in microservice applications and complex runtime environments pose significant challenges for effective connection subsetting, rendering traditional strategies notably inefficient. In this paper, we present Microns, a connection subsetting framework designed for microservices in shared clusters. At the application level, Microns effectively handles the complex call dependencies in applications and meticulously determines the number of connections maintained by each pair of dependent microservices. At the microservice level, Microns manages the connection relationships between dependent containers according to their respective contributions to end-to-end latency. Experiments across microservice benchmarks demonstrate that Microns achieves a significant reduction on end-to-end latency by over 74.4%.

ACM SIGMETRICS Performance Evaluation ReviewVol. 53(1)
Sun Yat-sen University (CN), Peng Cheng Laboratory (CN), Huazhong University of Science and Technology (CN), East China Normal University (CN)
Basic and Applied Basic Research Foundation of Guangdong Province
Decent work and economic growth
Openalex Percentile: Top 80%
Cloud Computing and Resource Management
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Microns: Connection Subsetting for Microservices in Shared Clusters — Fei Xu, Fangming Liu, et al. · ACM SIGMETRICS Performance Evaluation Review (2025) | TGRS Research Map | TGRS