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Collaborative Research: SHF: Medium: Causal Performance Debugging for Highly-Configurable Systems
Ray, Baishakhi
(PI)
Columbia University
Project
:
Research project
Overview
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Weight
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Computer Science
Big Data
50%
Code Analysis
25%
Composed System
25%
Configurable System
100%
Configuration Change
25%
Configuration Complexity
25%
Configuration Option
25%
Configuration Space
25%
Counterfactual Reasoning
25%
Diverse Background
25%
Energy Consumption
25%
Energy Saving
25%
Industrial Sector
25%
Infrastructure Component
25%
Machine Learning
50%
Misconfiguration
75%
Modern Software
25%
Operating Cost
25%
Paradigm Shift
25%
Pareto Analysis
25%
Performance Impact
25%
Performance Model
75%
Software Configuration
25%
Software Performance
50%
Software Systems
50%
structure learning
25%
Systems Performance
50%
Transfer Learning
25%