Enhancing the Configuration Tuning Pipeline of Large-Scale Distributed Applications Using Large Language Models (Idea Paper)-Reference-Cited by-同舟云学术

Enhancing the Configuration Tuning Pipeline of Large-Scale Distributed Applications Using Large Language Models (Idea Paper)

Published:2023-04-15 Issue: Volume: Page:
ISSN:
Container-title:Companion of the 2023 ACM/SPEC International Conference on Performance Engineering
language:
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Author:

Somashekar Gagan¹^ORCID,Kumar Rajat¹^ORCID

Affiliation:

1. Stony Brook University, Stony Brook, NY, USA

Funder

NSF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3578245.3585032

Reference53 articles.

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3. Accessed in January 2023. Redis configuration. https://redis.io/topics/config. Accessed in January 2023. Redis configuration. https://redis.io/topics/config.

4. Wasi Uddin Ahmad Saikat Chakraborty Baishakhi Ray and Kai-Wei Chang. 2021. Unified Pre-training for Program Understanding and Generation. https://doi.org/10.48550/ARXIV.2103.06333 10.48550/ARXIV.2103.06333

5. Wasi Uddin Ahmad Saikat Chakraborty Baishakhi Ray and Kai-Wei Chang. 2021. Unified Pre-training for Program Understanding and Generation. https://doi.org/10.48550/ARXIV.2103.06333

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