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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 distributed file system for managing such time-series data. Key capabilities in the storage framework include:
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Project News Paper on scalable spatiotemporal analytics to appear in the IEEE Transactions on Big Data Paper on Spatiotemporal Sketches appears in the IEEE Transactions on Knowledge & Data Engineering. Paper on Ad Hoc Queries appears in the IEEE Transactions on Cloud Computing. Paper on Anomaly Detection appears in Concurreny and Compuatation: Practice & Experience. Paper on Approximate Queries appears in the IEEE Transactions on Knowledge & Data Engineering. |
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© The Galileo Project Department of Computer Science Colorado State University |