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  1. Proceedings of the 1st Joint International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems (PDSW-DISCS '16)
  2. Klimatic: a virtual data lake for harvesting and distribution of geospatial data
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Scientific workflows at datawarp-speed: accelerated data-intensive science using NERSC's burst buffer
Parallel I/O characterisation based on server-side performance counters
Replicating HPC I/O workloads with proxy applications
Can non-volatile memory benefit mapreduce applications on HPC clusters?
Fatman vs. littleboy: scaling up linear algebraic operations in scale-out data platforms
Klimatic: a virtual data lake for harvesting and distribution of geospatial data
Get out of the way!: applying compression to internal data structures
Towards energy efficient data management in HPC: the open ethernet drive approach
A generic framework for testing parallel file systems
A bloom filter based scalable data integrity check tool for large-scale dataset

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Klimatic: a virtual data lake for harvesting and distribution of geospatial data

Content Provider ACM Digital Library
Author Foster, Ian Chard, Kyle Skluzacek, Tyler J.
Abstract Many interesting geospatial datasets are publicly accessible on web sites and other online repositories. However, the sheer number of datasets and locations, plus a lack of support for cross-repository search, makes it difficult for researchers to discover and integrate relevant data. We describe here early results from a system, Klimatic, that aims to overcome these barriers to discovery and use by automating the tasks of crawling, indexing, integrating, and distributing geospatial data. Klimatic implements a scalable crawling and processing architecture that uses an elastic container-based model to locate and retrieve relevant datasets and to extract metadata from headers and within files to build a global index of known geospatial data. In so doing, we create an expansive geospatial virtual data lake that records the location, formats, and other characteristics of large numbers of geospatial datasets while also caching popular data subsets for rapid access. A flexible query interface allows users to request data that satisfy supplied type, spatial, temporal, and provider specifications; in processing such queries, the system uses interpolation and aggregation to combine data of different types, data formats, resolutions, and bounds. Klimatic has so far incorporated more than 10,000 datasets from over 120 sources and has been demonstrated to scale well with data size and query complexity.
Starting Page 31
Ending Page 36
Page Count 6
ISBN 9781509052165
DOI 10.1109/PDSW-DISCS.2016.9
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2016-11-13
Access Restriction Subscribed
Content Type Text
Resource Type Article
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