Deploying a steered query optimizer in production at microsoft
Modern analytical workloads are highly heterogeneous and massively complex, making
generic out of the box query optimizers untenable for many customers and scenarios. As a …
generic out of the box query optimizers untenable for many customers and scenarios. As a …
Optimizing the cloud? Don't train models. Build oracles!
We propose cloud oracles, an alternative to machine learning for online optimization of
cloud configurations. Our cloud oracle approach guarantees complete accuracy and …
cloud configurations. Our cloud oracle approach guarantees complete accuracy and …
Conditionally risk-averse contextual bandits
Contextual bandits with average-case statistical guarantees are inadequate in risk-averse
situations because they might trade off degraded worst-case behaviour for better average …
situations because they might trade off degraded worst-case behaviour for better average …
Dexter: A Performance-Cost Efficient Resource Allocation Manager for Serverless Data Analytics
AM Nestorov, D Marrón, A Gutierrez-Torre… - Proceedings of the 25th …, 2024 - dl.acm.org
Leveraging serverless platforms for the efficient execution of distributed data analytics
frameworks, such as Apache Spark [3], has gained substantial interest since early 2022. The …
frameworks, such as Apache Spark [3], has gained substantial interest since early 2022. The …
The need for tabular representation learning: An industry perspective
J Cahoon, A Savelieva, AC Mueller… - NeurIPS 2022 First …, 2022 - openreview.net
The total addressable market for data applications has been estimated at\$70 B. This
includes the\$11 B market for data integration, which is estimated to grow at 25% in the …
includes the\$11 B market for data integration, which is estimated to grow at 25% in the …
Runtime Variation in Big Data Analytics
The dynamic nature of resource allocation and runtime conditions on Cloud can result in
high variability in a job's runtime across multiple iterations, leading to a poor experience …
high variability in a job's runtime across multiple iterations, leading to a poor experience …
[PDF][PDF] Mitigating Tail Catastrophe in Steered Database Query Optimization with Risk-Averse Contextual Bandits
Contextual bandits with average-case statistical guarantees are inadequate in riskaverse
situations because they might trade off degraded worst-case behaviour for better average …
situations because they might trade off degraded worst-case behaviour for better average …