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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.

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Summary
This summary is machine-generated.

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.

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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.