Building a front end for a sensor data cloud

Authors:
Ian Rolewicz;Michele Catasta;Hoyoung Jeung;Zoltán Miklós;Karl Aberer
Affiliations:
Ecole Polytechnique Federale de Lausanne;Ecole Polytechnique Federale de Lausanne;Ecole Polytechnique Federale de Lausanne;Ecole Polytechnique Federale de Lausanne;Ecole Polytechnique Federale de Lausanne
Venue:
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part III
Year:
2011

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Abstract

This document introduces the TimeCloud Front End, a webbased interface for the TimeCloud platform that manages large-scale time series in the cloud. While the Back End is built upon scalable, fault-tolerant distributed systems as Hadoop and HBase and takes novel approaches for facilitating data analysis over massive time series, the Front End was built as a simple and intuitive interface for viewing the data present in the cloud, both with simple tabular display and the help of various visualizations. In addition, the Front End implements modelbased views and data fetch on-demand for reducing the amount of work performed at the Back End.