CodeCrunch: Improving Serverless Performance via Function Compression and Cost-Aware Warmup Location Optimization-Reference-Cited by-同舟云学术

CodeCrunch: Improving Serverless Performance via Function Compression and Cost-Aware Warmup Location Optimization

Published:2024-04-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1
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Author:

Basu Roy Rohan¹^ORCID,Patel Tirthak²^ORCID,Garg Rohan³^ORCID,Tiwari Devesh⁴^ORCID

Affiliation:

1. Northeastern University, Boston, USA

2. Rice University, Houston, United States

3. Nutanix Inc., Seattle, United States

4. Northeastern University, Boston, United States

Funder

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3617232.3624866

Reference85 articles.

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4. A Reinforcement Learning Approach to Reduce Serverless Function Cold Start Frequency

5. Istemi Ekin Akkus, Ruichuan Chen, Ivica Rimac, Manuel Stein, Klaus Satzke, Andre Beck, Paarijaat Aditya, and Volker Hilt. {SAND}: Towards high-performance serverless computing. In 2018 {Usenix} Annual Technical Conference ({USENIX}{ATC} 18), pages 923--935, 2018.

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