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Systems Monitoring via Subspace Tracking Algorithms

October 21, 2016
12:20 pm - 12:40 pm
GRB 340 A

Track: Data Science
Type: Presentation
Level: Beginner/Intermediate

Detecting unexpected changes in resource consumption is vital to any organization that utilizes a distributed cloud computing environment. Automated systems monitoring techniques often model each time series individually and/or offline. In a novel approach, we discuss how to exploit the redundancy in systems metrics to detect changes in real time without explicitly modeling seasonality or noise.


, Data Scientist, Twitter, Inc.