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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.
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Computing Redundancy in Blocking Systems: Fast Service or No Service
- Award ID(s):
- 2120262
- PAR ID:
- 10569556
- Publisher / Repository:
- IEEE
- Date Published:
- ISBN:
- 979-8-3503-2466-2
- Page Range / eLocation ID:
- 281 to 286
- Format(s):
- Medium: X
- Location:
- Hangzhou, China
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
-
Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1109/WCSP58612.2023.10404519
