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East European Conference on Advances in Databases and Information Systems

ADBIS 2015: New Trends in Databases and Information Systems pp 251–258Cite as

A Mutual Resource Exchanging Model and Its Applications to Data Analysis in Mobile Environment

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 539))

Abstract

In this paper, a mutual resource exchanging model in mobile computing environment and its application to data analysis are introduced. Resource exchanging is a key issue in data analysis because the only way for efficient use of limited resources in mobile environment is exchanging them each other. Also this paper presents the applicability of this model by showing applications of (1) a universal battery, (2) bandwidth sharing, (3) a 3D movie production by collective intelligence, and, (4) mobile data analysis for motion sensors. By showing results of data analysis, the applicability of this model will be clarified.

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References

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Author information

Authors and Affiliations

  1. Faculty of Global Media Studies, Komazawa University, Setagaya, Japan

    Naofumi Yoshida

Authors
  1. Naofumi Yoshida
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Corresponding author

Correspondence to Naofumi Yoshida .

Editor information

Editors and Affiliations

  1. Poznan University of Technology, Poznan, Poland

    Tadeusz Morzy

  2. INRIA, Montpellier, France

    Patrick Valduriez

  3. National Engineering School for Mechanics and Aerotechnics, Poitiers, France

    Ladjel Bellatreche

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© 2015 Springer International Publishing Switzerland

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Yoshida, N. (2015). A Mutual Resource Exchanging Model and Its Applications to Data Analysis in Mobile Environment. In: Morzy, T., Valduriez, P., Bellatreche, L. (eds) New Trends in Databases and Information Systems. ADBIS 2015. Communications in Computer and Information Science, vol 539. Springer, Cham. https://doi.org/10.1007/978-3-319-23201-0_28

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  • DOI: https://doi.org/10.1007/978-3-319-23201-0_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23200-3

  • Online ISBN: 978-3-319-23201-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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