Time-series Anomaly Detection Applied to Log-based Diagnostic System Using Unsupervised Machine Learning Approach

Francesco Minarini & Leticia Decker
Annually, the Large Hadron Collider (LHC) demands a huge amount of computing resources to deal with petabytes of produced data. In the next years, a scheduled LHC upgrade will increase at least 10 times the computational workload on the Worldwide LHC Computing Grid (WLCG). As a consequence, an upgrade in the computing infrastructure that supports the physics experiments is also required. All WLCG computing centers are focused on the development of hardware and software solutions...
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