• DocumentCode
    3727762
  • Title

    A fast approach to enable mobile apps with Geo-Location logging and reporting

  • Author

    Yanke Hu; Xiwang Zhang; Liangmin Hu

  • Author_Institution
    IBM, San Francisco, California 94105, US
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    With the rapid evolvement of mobile and cloud technology, the cost of collecting and studying human behavior data is largely reduced. Geo-location data is probably the most important and interesting data that vendors and researchers care about when their designed apps are being used. If an organization maintains several apps, and it wants to monitor the geo-location trend of each app´s usage, it will be chaotic and redundant to implement geo-location logging module for every individual app. Instead, it´s much cleaner to encapsulate geo-location logging component into SDKs, and centralize the reporting portals into the same cloud service. In this paper, we propose an approach of Modularization SDK Implementation and Cloud reporting architecture, to enable Mobile apps with sensor information logging and reporting by inserting one single line of code. We also use Geo-Location logging as an example and explain how it works on iOS and Android platforms. Our approach can bring several advantages including removing redundant implementation of function modules and bringing more scalability on backend reporting.
  • Keywords
    "Androids","Humanoid robots","Manuals"
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2015 23rd International Conference on
  • ISSN
    2161-024X
  • Type

    conf

  • DOI
    10.1109/GEOINFORMATICS.2015.7378609
  • Filename
    7378609