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MPaaS: Mobility prediction as a service in telecom cloud

Author

Listed:
  • Haoyi Xiong

    (Institut Mines-Tèlècom, Tèlècom SudParis)

  • Daqing Zhang

    (Institut Mines-Tèlècom, Tèlècom SudParis)

  • Daqiang Zhang

    (Tongji University)

  • Vincent Gauthier

    (Institut Mines-Tèlècom, Tèlècom SudParis)

  • Kun Yang

    (University of Essex)

  • Monique Becker

    (Institut Mines-Tèlècom, Tèlècom SudParis)

Abstract

Mobile applications and services relying on mobility prediction have recently spurred lots of interest. In this paper, we propose mobility prediction based on cellular traces as an infrastructural level service of telecom cloud. Mobility Prediction as a Service (MPaaS) embeds mobility mining and forecasting algorithms into a cloud-based user location tracking framework. By empowering MPaaS, the hosted 3rd-party and value-added services can benefit from online mobility prediction. Particularly we took Mobility-aware Personalization and Predictive Resource Allocation as key features to elaborate how MPaaS drives new fashion of mobile cloud applications. Due to the randomness of human mobility patterns, mobility predicting remains a very challenging task in MPaaS research. Our preliminary study observed collective behavioral patterns (CBP) in mobility of crowds, and proposed a CBP-based mobility predictor. MPaaS system equips a hybrid predictor fusing both CBP-based scheme and Markov-based predictor to provide telecom cloud with large-scale mobility prediction capacity.

Suggested Citation

  • Haoyi Xiong & Daqing Zhang & Daqiang Zhang & Vincent Gauthier & Kun Yang & Monique Becker, 2014. "MPaaS: Mobility prediction as a service in telecom cloud," Information Systems Frontiers, Springer, vol. 16(1), pages 59-75, March.
    • Handle: RePEc:spr:infosf:v:16:y:2014:i:1:d:10.1007_s10796-013-9476-z
    DOI: 10.1007/s10796-013-9476-z
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    References listed on IDEAS

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    1. Oleksiy Mazhelis & Pasi Tyrväinen, 2012. "Economic aspects of hybrid cloud infrastructure: User organization perspective," Information Systems Frontiers, Springer, vol. 14(4), pages 845-869, September.
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    Cited by:

    1. Humphrey M. Sabi & Faith-Michael E. Uzoka & Kehbuma Langmia & Felix N. Njeh & Clive K. Tsuma, 0. "A cross-country model of contextual factors impacting cloud computing adoption at universities in sub-Saharan Africa," Information Systems Frontiers, Springer, vol. 0, pages 1-24.
    2. Humphrey M. Sabi & Faith-Michael E. Uzoka & Kehbuma Langmia & Felix N. Njeh & Clive K. Tsuma, 2018. "A cross-country model of contextual factors impacting cloud computing adoption at universities in sub-Saharan Africa," Information Systems Frontiers, Springer, vol. 20(6), pages 1381-1404, December.
    3. Ching-Hsien Hsu & Jianhua Ma & Mohammad S. Obaidat, 2014. "Dynamic intelligence towards merging cloud and communication services," Information Systems Frontiers, Springer, vol. 16(1), pages 1-5, March.

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