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InfoQ Homepage Presentations Predictive Datacenter Analytics with Strymon

Predictive Datacenter Analytics with Strymon

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Summary

Vasia Kalavri shares her research group’s ongoing work on Strymon: a system for predicting datacenter behavior in hypothetical scenarios using queryable online simulation. She highlights the challenges ETH Zurich Systems group is facing in building Strymon to support a diverse set of data representations, input sources, query languages, and execution models.

Bio

Vasia Kalavri is a Postdoctoral researcher at the ETH Zurich Systems group, where she is working on distributed data processing, data center performance, and graph streaming. She is a PMC member of Apache Flink and a core developer of its graph processing API, Gelly.

About the conference

Software is changing the world. QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community. A practitioner-driven conference, QCon is designed for technical team leads, architects, engineering directors, and project managers who influence innovation in their teams.

Recorded at:

Feb 16, 2018

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