Building a Front End for a Sensor Data Cloud

Year: 
2011
Publication Date: 
Monday, 20 June, 2011
Published in: 
International Workshop on Cloud for High Performance Computing 2011 (C4HPC'11)
Authors: 
Ian Rolewicz, Michele Catasta, Hoyoung Jeung, Zoltan Miklos, Karl Aberer

This paper was published in the Proceedings of the International Workshop on Cloud for High Performance Computing 2011 (C4HPC'11), co-located with the 2011 International Conference on Computational Science and its Applications (ICCSA 2011) . 

 

Abstract: 

This document introduces the TimeCloud Front End, a web based 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 faciliating 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 model-based views and data fetch on-demand for reducing the amount of work performed at the Back End.

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