Efficient service mesh traffic management for cloud-native applications

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.

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Publication Details

Journal
PLoS ONE
Published
2026-03-12
DOI
https://doi.org/10.1371/journal.pone.0344516
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
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article

Efficient service mesh traffic management for cloud-native applications

Choonhwa Lee, Shuyang Ren, Rizwan Ahmed, Eunsam Kim
PLoS ONE
Cloud Computing and Resource Management
article

Efficient service mesh traffic management for cloud-native applications

Choonhwa Lee, Shuyang Ren, Rizwan Ahmed, Eunsam Kim
article en

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.

PLoS ONEVol. 21(3)
Wenzhou University (CN), Wenzhou University of Technology, Hanyang University (KR), Hongik University (KR)
Decent work and economic growth
Openalex Percentile: Top 44%
Cloud Computing and Resource Management
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