The main research goal is to develop methods and tools for data access pattern analysis and prediction. It includes following tasks:
* Pre-processing of the dCache HPSS logs is completed (5/2020).
* Data exploration to study data for access patterns (e.g. clustering)
* Development of a machine learning method for to predict the access pattern (with error analysis)
* Development of model update and synchronization method for more data

 

View project submission here.

Term
Fall 2020
Topic
Platforms/Infrastructure