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Time-series data occurs in settings such as observations initiated by radars and satellites, checkpointing data representing state of the system at regular intervals, and analytics representing the evolution of extracted knowledge over time. Galileo is a demonstrably scalable storage framework for managing such time-series data. Key capabilities in the storage framework include:
Paper on Superspreader Network Analysis over Epidemiology Data at IEEE BigData; acceptance rate 18.68% [10/12/2016]
The group's Lattice cluster is adding an additional Petabyte of data for testing/assessment of algorithms [10/1/2016]
Recent testing and deployments in a new 48-node Raspberry Pi Cluster. Experiments with 8 sensor types and 6 different flash memory drives [9/4/2016]
Paper on Ad Hoc Queries to appear in IEEE Transactions on Cloud Computing.
Paper on Approximate Queries appears in IEEE Transcations on Knowledge & Data Engineering.
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Department of Computer Science
Colorado State University