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Sora: A Latency Sensitive Approach for Microservice Soft Resource Adaptation

Authors:

Shungeng Zhang,

Dilma Da SilvaAuthors Info & Claims

Middleware '23: Proceedings of the 24th International Middleware Conference

Pages 43 - 56

https://doi.org/10.1145/3590140.3592851

Published: 27 November 2023 Publication History

Abstract

Fast response time for modern web services that include numerous distributed and lightweight microservices becomes increasingly important due to its business impact. While hardware-only resource scaling approaches (e.g., FIRM [47] and PARSLO [40]) have been proposed to mitigate response time fluctuations on critical microservices, the re-adaptation of soft resources (e.g., threads or connections) that control the concurrency of hardware resource usage has been largely ignored. This paper shows that the soft resource adaptation of critical microservices has a significant impact on system scalability because either under- or over-allocation of soft resources can lead to inefficient usage of underlying hardware resources. We present Sora, an intelligent, fast soft resource adaptation management framework for quickly identifying and adjusting the optimal concurrency level of critical microservices to mitigate service-level objective (SLO) violations. Sora leverages online fine-grained system metrics and the propagated deadline along the critical path of request execution to quickly and accurately provide optimal concurrency setting for critical microservices. Based on six real-world bursty workload traces and two representative microservices benchmarks (Sock Shop and Social Network), our experimental results show that Sora can effectively mitigate large response time fluctuations and reduce the 99th percentile latency by up to 2.5× compared to the hardware-only scaling strategy FIRM [47] and 1.5× to the state-of-the-art concurrency-aware system scaling strategy ConScale.

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Cited By

Zhang LZheng WZheng KZhu HLi CGuo M(2024)Bayesian-Driven Automated Scaling in Stream Computing With Multiple QoS TargetsIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2024.339983435:7(1251-1267)Online publication date: 13-May-2024
https://dl.acm.org/doi/10.1109/TPDS.2024.3399834
Gu XWang QLiu JWei J(2024)Grunt Attack: Exploiting Execution Dependencies in Microservices2024 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)10.1109/DSN58291.2024.00025(115-128)Online publication date: 24-Jun-2024
https://doi.org/10.1109/DSN58291.2024.00025

Index Terms

Sora: A Latency Sensitive Approach for Microservice Soft Resource Adaptation
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
      1. Cloud computing
2. General and reference
  1. Cross-computing tools and techniques
    1. Experimentation
    2. Performance

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Middleware '23: Proceedings of the 24th International Middleware Conference

November 2023

334 pages

ISBN:9798400701771

DOI:10.1145/3590140

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Cited By

Zhang LZheng WZheng KZhu HLi CGuo M(2024)Bayesian-Driven Automated Scaling in Stream Computing With Multiple QoS TargetsIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2024.339983435:7(1251-1267)Online publication date: 13-May-2024
https://dl.acm.org/doi/10.1109/TPDS.2024.3399834
Gu XWang QLiu JWei J(2024)Grunt Attack: Exploiting Execution Dependencies in Microservices2024 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)10.1109/DSN58291.2024.00025(115-128)Online publication date: 24-Jun-2024
https://doi.org/10.1109/DSN58291.2024.00025

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