Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift-Reference-Cited by-同舟云学术

Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:Companion of the 2023 International Conference on Management of Data
language:
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Author:

Saxena Gaurav¹^ORCID,Rahman Mohammad¹^ORCID,Chainani Naresh¹^ORCID,Lin Chunbin²^ORCID,Caragea George³^ORCID,Chowdhury Fahim¹^ORCID,Marcus Ryan⁴^ORCID,Kraska Tim⁵^ORCID,Pandis Ippokratis¹^ORCID,Narayanaswamy Balakrishnan (Murali)¹^ORCID

Affiliation:

1. Amazon Web Services, Seattle, WA, USA

2. Amazon Web Services & VISA, Seattle, WA, USA

3. Amazon Web Services & Lacework, Seattle, WA, USA

4. Amazon Web Services & University of Pennsylvania, Seattle, WA, USA

5. Amazon Web Services & MIT, Seattle, WA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3555041.3589677

Reference58 articles.

1. Scheduling real-time transactions

2. Amazon Redshift Re-invented

3. Towards a Benchmark for Learned Systems

4. Using Word Embedding to Enable Semantic Queries in Relational Databases

5. Fair scheduling with tunable latency: A round-robin approach

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