Improving Service Performance through Multilayer Routing and Service Intelligence in a Network Service Mesh

Network service mesh architectures, by interconnecting cloud clusters, provide access to services across distributed infrastructures. Typically, services are replicated across clusters to ensure resilience. However, end-to-end service performance varies mainly depending on the service loads experienced by individual clusters. Therefore, a key challenge is to optimize end-to-end service performance by routing service requests to clusters with the least service processing/response times. We present a two-phase approach that combines an optimized multi-layer optical routing system with service mesh performance costs to improve end-to-end service performance. Our experimental strategy shows that leveraging a multi-layer architecture in combination with service performance information improves end-to-end performance. We evaluate our approach by testing our strategy on a service mesh layer overlay on a modified continental united states (CONUS) network topology.

• Publication year

  2021

• Venue

  International Workshop on Ant Colony Optimization and Swarm Intelligence

• Publication date

  2021-12-13

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1109/ANTS52808.2021.9936995
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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