Building a Front End for a Sensor Data Cloud

  • Ian Rolewicz
  • Michele Catasta
  • Hoyoung Jeung
  • Zoltán Miklós
  • Karl Aberer
Conference paper

DOI: 10.1007/978-3-642-21931-3_44

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6784)
Cite this paper as:
Rolewicz I., Catasta M., Jeung H., Miklós Z., Aberer K. (2011) Building a Front End for a Sensor Data Cloud. In: Murgante B., Gervasi O., Iglesias A., Taniar D., Apduhan B.O. (eds) Computational Science and Its Applications - ICCSA 2011. ICCSA 2011. Lecture Notes in Computer Science, vol 6784. Springer, Berlin, Heidelberg

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 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 model-based views and data fetch on-demand for reducing the amount of work performed at the Back End.

Keywords

time series front end interface model visualization 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Ian Rolewicz
    • 1
  • Michele Catasta
    • 1
  • Hoyoung Jeung
    • 1
  • Zoltán Miklós
    • 1
  • Karl Aberer
    • 1
  1. 1.Ecole Polytechnique Federale de Lausanne (EPFL)Switzerland

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