research
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10/24/2022
Deploying a Steered Query Optimizer in Production at Microsoft
Modern analytical workloads are highly heterogeneous and massively compl...
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12/16/2021
Predictive Price-Performance Optimization for Serverless Query Processing
We present an efficient, parametric modeling framework for predictive re...
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10/05/2021
Phoebe: A Learning-based Checkpoint Optimizer
Easy-to-use programming interfaces paired with cloud-scale processing en...
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07/19/2021
Optimal Resource Allocation for Serverless Queries
Optimizing resource allocation for analytical workloads is vital for red...
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09/27/2020
Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation
Microsoft Azure is dedicated to guarantee high quality of service to its...
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02/27/2020
Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings
Query processing over big data is ubiquitous in modern clouds, where the...
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08/30/2019
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML
Machine learning (ML) has proven itself in high-value web applications s...
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06/15/2019
