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Volume 18, No. 12
A Demonstration of POLARIS: An Interactive and Scalable Data Infrastructure for Polar Science
Authors:
Yuchuan Huang, Ana Elena Uribe, Grant Ogren, Youssef Hussein, Kareem Eldahshoury, Mohamed Mokbel
Abstract
This demonstration presents Polaris; a novel open-source system infrastructure for Polar science that is highly I nteractive and S calable. Polaris is designed based on three observations that distinguish the query workload of polar scientists, namely, all queries are spatio-temporal, not all data are equal, and the large majority of queries are aggregates. With this, Polaris is equipped with a hierarchical spatio-temporal index structure that stores precomputed aggregates for data of interest. Audience will be able to experience Polaris through various scenarios that show the interactivity and scalability as well as Polaris optimized query processes.
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