Data-driven Improvement of Datacenter Performance


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



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Applied Mathematics, Brown University