The Fast and The Frugal: Tail Latency Aware Provisioning for Coping with Load Variations

Author:

Kumar Adithya1,Narayanan Iyswarya1,Zhu Timothy1,Sivasubramaniam Anand1

Affiliation:

1. The Pennsylvania State University, USA

Publisher

ACM

Reference94 articles.

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Faster or Cheaper: A Q-learning based cost-effective mixed cluster scaling method for achieving low tail latencies;Future Generation Computer Systems;2024-08

2. Expanding Datacenter Capacity with DVFS Boosting: A safe and scalable deployment experience;Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1;2024-04-17

3. SplitRPC: A {Control + Data} Path Splitting RPC Stack for ML Inference Serving;Proceedings of the ACM on Measurement and Analysis of Computing Systems;2023-05-19

4. HLB: Toward Load-Aware Load Balancing;IEEE/ACM Transactions on Networking;2022-12

5. TailCmp - A Tail Latency Evaluation Solution of Public Cloud and Labeled von Neumann Architecture based Cloud Prototype;2022 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom);2022-12

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