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Data Analysis as a Service: An Infrastructure for Storing and Analyzing the Internet of Things

  • Martin Lehmann
  • Andreas Biørn-Hansen
  • Gheorghita Ghinea
  • Tor-Morten GrønliEmail author
  • Muhammad Younas
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9228)

Abstract

As the Internet of Things (IoT) is becoming an increasingly trendy topic both for individuals, businesses and governments, the need for academically reviewed and developed prototypes focusing on certain aspects of IoT are increasing as well. Throughout this paper we propose an architecture and a technology stack for creating real-time applications focusing on time-series data generated by IoT devices. The architecture and technology stack are then implemented through a proof-of-concept prototype named Office Analysis as a Service, DaaS, a data-centric web application developed using Meteor.js and MongoDB. We also propose a data structure for storing time-series data in a MongoDB document for optimal query performance of large datasets. One common research challenge in the IoT, security, is considered only briefly, and is of utmost importance in future research..

Keywords

Internet of things Mongodb Data analysis as a protocol Meteor Restful services Reactive visualisation 

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References

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Martin Lehmann
    • 2
  • Andreas Biørn-Hansen
    • 2
  • Gheorghita Ghinea
    • 1
    • 2
  • Tor-Morten Grønli
    • 2
    Email author
  • Muhammad Younas
    • 3
  1. 1.Brunel UniversityLondonUK
  2. 2.Westerdals Oslo ACT, Faculty of TechnologyOsloNorway
  3. 3.Oxford Brookes UniversityOxfordUK

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