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Galileo: Scalable Storage of Time-Series Multidimensional Data

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:. The ability to manage billions of small files. Support for multiple scientific data formats such as netDCF and HDF.

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Galileo: Scalable Storage of Time-Series Multidimensional Data | galileo.cs.colostate.edu Reviews

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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:. The ability to manage billions of small files. Support for multiple scientific data formats such as netDCF and HDF.

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Galileo: Scalable Storage of Time-Series Multidimensional Data | galileo.cs.colostate.edu Reviews

https://galileo.cs.colostate.edu

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:. The ability to manage billions of small files. Support for multiple scientific data formats such as netDCF and HDF.

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Galileo: Scalable Storage of Time-Series Multidimensional Data

http://galileo.cs.colostate.edu/software.html

Department of Computer Science.

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Galileo: Scalable Storage of Time-Series Multidimensional Data

http://galileo.cs.colostate.edu/api.html

The API for the software is available here. Department of Computer Science.

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Galileo: Scalable Storage of Time-Series Multidimensional Data

http://galileo.cs.colostate.edu/papers.html

Matthew Malensek, Sangmi Pallickara, and Shrideep Pallickara. Fast, Ad Hoc Query Evaluations over Multidimensional Geospatial Datasets. IEEE Transactions on Cloud Computing. Naman Shah, Harshil Shah, Matthew Malensek, Sangmi Lee Pallickara, and Shrideep Pallickara. Network Analysis for Identifying and Characterizing Disease Outbreak Influence from Voluminous Epidemiology Data. To appear) Proceedings of the. IEEE International Conference on Big Data. Washington D.C., USA. 2016. Vol 3(3) pp 40-49. 2016.

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Galileo: Scalable Storage of Time-Series Multidimensional Data

http://galileo.cs.colostate.edu/overview.html

That may be performed on the stored data. These range queries take on different meanings depending on the. Associated with the data dimension. Range queries can be used to:. 1) Constrain or expand the geographical scope of the region under consideration. 2) Specify the chronological range of interest within the time-series data. 3) Specify the range of numeric values that the dimension can take. Department of Computer Science.

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Galileo: Scalable Storage of Time-Series Multidimensional Data

http://galileo.cs.colostate.edu/index.html

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:. The ability to manage billions of small files with trillions of observations. Supported queries can be point or continuous.

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Matthew Malensek - Projects

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Here’s what I’ve been working on. A high-throughput distributed storage system for multidimensional data. Contributions to the Granules. Framework for distributed stream processing. A native Java implementation of bsdiff. A themeable sound volume controller. A simple skinnable calculator. A snake game for your terminal.

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Galileo: Scalable Storage of Time-Series Multidimensional Data

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:. The ability to manage billions of small files. Support for multiple scientific data formats such as netDCF and HDF.

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Turn on more accessible mode. Turn off more accessible mode. Battle of the Books. Crystal Apple Nominations 2016. School Policies and Documents. Galileo School of Math and Science. For news of significant and current events, go to the news and announcement. Page For upcoming events, see Things to Know at the bottom of this page. 160; . 160; . Colorado Springs School District 11, 2014.

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