Efficient service mesh traffic management for cloud-native applications

Rizwan Ahmed, Shuyang Ren, Eunsam Kim and Choonhwa Lee

PLOS ONE, 2026, vol. 21, issue 3, 1-22

Abstract: The cloud-native architecture and microservice technologies are revolutionizing the design, development, and management of cloud applications and services by offering greater elasticity, scalability, and flexibility. However, managing service-to-service traffic and handling faults turn out to be more difficult for modern, sophisticated cloud-native applications. The research community responded to the technical challenges by exploring efficient scheduling schemes that deploy constituent services to a node. Despite those efforts, current solutions are unable to handle real-time traffic dynamics, which could lead to resource waste and unnecessary communication delays. In this work, service partitions are used to improve resource distribution and traffic control in microservice-based applications. This strategy uses graph-based techniques to effectively cluster services, optimize resource usage, and boost communication efficiency, while continually monitoring application behaviors. We found that it can reduce response times by up to 15% during times of high network latency. The performance and dependability of microservices in cloud-native environments can be significantly improved using the proposed approach.

Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0344516

DOI: 10.1371/journal.pone.0344516

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