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Providing Context as a Service Using Service-Oriented Mobile Indie Fog and Opportunistic Computing

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Software Architecture (ECSA 2018)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 11048))

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Abstract

The increasing number of sensor-embedded mobile devices has motivated the research of mobile Sensing as a Service in which mobile devices can host Web servers to serve sensory data to the Internet of Things systems, urban crowd sensing systems and big data acquisition systems. Further, the improved processing power of modern mobile devices indicates the mobile devices are not only capable of serving sensory data but also capable of providing Context as a Service (CaaS) based on requesters’ own interpretation algorithms. In order to demonstrate mobile CaaS, this paper proposes a service-oriented mobile Indie Fog server architecture, which enables dynamic algorithm execution and also supports distributed CaaS processing among mobile devices. Moreover, in order to optimise the process distribution, the proposed framework also encompasses a resource-aware process assignment scheme known as MIRA. Finally, the authors have implemented and evaluated the proposed framework on a number of real devices. Accordingly, the evaluation results show that the MIRA scheme can improve the process assignment in the collaborative mobile CaaS environment.

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Authors and Affiliations

  1. Mobile & Cloud Lab, Institute of Computer Science, University of Tartu, Tartu, Estonia

    Chii Chang & Satish Narayana Srirama

Authors
  1. Chii Chang
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  2. Satish Narayana Srirama
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Correspondence to Chii Chang .

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Editors and Affiliations

  1. King Juan Carlos University, Móstoles, Madrid, Spain

    Carlos E. Cuesta

  2. School of Computer Sciences, Carnegie Mellon University, Pittsburgh, PA, USA

    David Garlan

  3. Technical University of Madrid, Madrid, Spain

    Jennifer Pérez

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Chang, C., Srirama, S.N. (2018). Providing Context as a Service Using Service-Oriented Mobile Indie Fog and Opportunistic Computing. In: Cuesta, C., Garlan, D., Pérez, J. (eds) Software Architecture. ECSA 2018. Lecture Notes in Computer Science(), vol 11048. Springer, Cham. https://doi.org/10.1007/978-3-030-00761-4_15

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  • DOI: https://doi.org/10.1007/978-3-030-00761-4_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00760-7

  • Online ISBN: 978-3-030-00761-4

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