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Data-driven Improvement of Datacenter Performance
Timeline
2018
Description
Cecily Chase (Applied Math), Brian Nieves (Computer Science), and Harry Xie (Computer Science/Statistics) spent ten weeks understanding how algorithmic approaches can shed light on which data center tasks (“stragglers”) are typically slowed down by unbalanced or limited resources. Working with a real dataset provided by project clients Lenovo, the team created a monitoring framework that flags stragglers in real time.
Click here to read the Executive Summary
Disciplines Involved: Economics, all quantitative STEM
Project Lead: Benjamin C. Lee
Project Manager: Dmitry Vagner
Categories
Finance, Economics and Computation, Data+