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Efficient service mesh traffic management for cloud-native applications
Rizwan Ahmed1, Shuyang Ren2, Eunsam Kim3
1Department of Computer Science, Hanyang University, Seoul, Korea.
Plos One
|March 12, 2026
Summary
This study introduces service partitions to manage microservice traffic in cloud-native applications, improving resource distribution and reducing response times by 15% during high network latency.
Area of Science:
- Computer Science
- Software Engineering
Background:
- Cloud-native architectures and microservices offer elasticity and scalability but face challenges in managing service-to-service traffic and faults.
- Existing solutions struggle with real-time traffic dynamics, leading to resource waste and communication delays.
Purpose of the Study:
- To enhance resource distribution and traffic control in microservice-based applications.
- To improve the performance and dependability of microservices in cloud-native environments.
Main Methods:
- Utilizing service partitions to cluster services using graph-based techniques.
- Optimizing resource usage and communication efficiency through continuous application behavior monitoring.
Main Results:
- Reduced response times by up to 15% under high network latency conditions.
- Demonstrated significant improvements in microservice performance and dependability.
Conclusions:
- Service partitioning is an effective strategy for managing complex cloud-native microservice applications.
- The proposed approach addresses limitations of current solutions in handling real-time traffic dynamics.
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