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- W4387490018 abstract "The cloud is an emerging paradigm, swiftly changing the information technology landscape by managing and providing high-quality services over the internet. With technology stacks moving to the cloud, microservices-based architecture (MSA) is becoming increasingly common. MSA consists of small, modular, and loosely coupled services that communicate over the network via well-defined APIs. Although an MSA may significantly boost the speed and efficiency of software service delivery, it also makes systems more operationally complex. Service meshes have emerged as a viable solution to alleviate this problem by adding a dedicated infrastructure layer on top of the microservices architecture without altering the service implementations. We have performed a thorough measurement and examination of the overheads associated with deploying microservices in a service mesh using wrk2 for latency sensitivity analysis and Linux-perf for microarchitectural analysis. We present a comprehensive overview of the overheads in terms of CPU cycles, system instructions, page faults, and cache misses in deploying a state-of-the-art service mesh (Istio) on a Kubernetes cluster running a benchmark microservices application (Death-StarBench)." @default.
- W4387490018 created "2023-10-11" @default.
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- W4387490018 date "2023-08-25" @default.
- W4387490018 modified "2023-10-16" @default.
- W4387490018 title "Microarchitectural Analysis and Characterization of Performance Overheads in Service Meshes with Kubernetes" @default.
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- W4387490018 doi "https://doi.org/10.1109/asiancon58793.2023.10270428" @default.
- W4387490018 hasPublicationYear "2023" @default.
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