• DocumentCode
    3610756
  • Title

    Analysis of Large-Scale Distributed Cameras Using the Cloud

  • Author

    Wenyi Chen ; Mohan, Anup ; Yung-Hsiang Lu ; Hacker, Thomas ; Wei Tsang Ooi ; Delp, Edward J.

  • Author_Institution
    Purdue Univ., West Lafayette, IN, USA
  • Volume
    2
  • Issue
    5
  • fYear
    2015
  • Firstpage
    54
  • Lastpage
    62
  • Abstract
    Distributed network cameras are gaining popularity in scientific research because they can be used to monitor natural and human phenomena on a very large scale. However, there´s no easy way to gather and process data from a large number of distributed cameras. This article proposes a system that uses cloud instances to gather and analyze data from a large number of cameras. It presents some initial results when analyzing data with different parameters, such as the cameras´ geographical locations, cloud instance size, and processing program execution time. The authors show some basic strategies for choosing cloud instances when processing data from a large number of cameras. The article can serve as a starting point for further investigations.
  • Keywords
    cloud computing; data analysis; distributed processing; distributed sensors; cloud instance; data analysis; distributed network camera; Cameras; Cloud computing; Distributed databases; Sensors; Transform coding; Visual sensing; Visualization; cloud; distributed network cameras; sensor networks; visual sensing;
  • fLanguage
    English
  • Journal_Title
    Cloud Computing, IEEE
  • Publisher
    ieee
  • ISSN
    2325-6095
  • Type

    jour

  • DOI
    10.1109/MCC.2015.103
  • Filename
    7331200