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Evidence-Aware Mobile Cloud Architectures

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Mobile Big Data

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 10))

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Abstract

The potential of mobile offloading has contributed towards the flurry of recent research activity known as mobile cloud computing. By instrumenting the mobile applications with offloading mechanisms, a mobile device can save its energy and increase its performance. However, existing offloading mechanisms lack from efficient decision models for augmenting the mobile device with cloud resources on the fly. This problem is caused by the large amount of system’s parameters and their scattered values that need to be considered and characterized merely by the device depending on its contextual needs. Thus, the offloading process still suffers from deficiencies that do not allow a device to maximize the advantages of going cloud-aware. In this chapter, we explore the challenges and opportunities of a new kind of mobile architecture, namely evidence-aware mobile cloud architecture, which relies on crowdsensing to diagnose the optimal configuration for migrating mobile functionality to cloud. The key insight is that by using the massive parallel infrastructure of the cloud to process big data, it is possible to collect offloading evidence from large amount of devices that is later analyzed in conjunction to infer an efficient configuration to execute a smartphone app for a particular device.

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Author information

Authors and Affiliations

  1. Center of Ubiquitious Computing, University of Oulu, Oulu, Finland

    Huber Flores & Vassilis Kostakos

  2. Department of Computer Science, University of Helsinki, Helsinki, Finland

    Sasu Tarkoma

  3. Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Kowloon, Hong Kong

    Pan Hui

  4. Department of Electronic Engineering, Tsinghua University, Beijing, China

    Yong Li

Authors
  1. Huber Flores
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  2. Vassilis Kostakos
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  3. Sasu Tarkoma
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  4. Pan Hui
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  5. Yong Li
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Corresponding author

Correspondence to Huber Flores .

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Nicosia, Nicosia, Cyprus

    Georgios Skourletopoulos

  2. Department of Business Administration, Technological Educational Institute Crete, Agios Nikolaos, Greece

    George Mastorakis

  3. Department of Computer Science, University of Nicosia, Nicosia, Cyprus

    Constandinos X. Mavromoustakis

  4. Department of Computer Science and Engineering, University Politehnica of Bucharest, Bucharest, Romania

    Ciprian Dobre

  5. Department of Informatics Engineering, Technological Educational Institute of Crete, Crete, Greece

    Evangelos Pallis

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Flores, H., Kostakos, V., Tarkoma, S., Hui, P., Li, Y. (2018). Evidence-Aware Mobile Cloud Architectures. In: Skourletopoulos, G., Mastorakis, G., Mavromoustakis, C., Dobre, C., Pallis, E. (eds) Mobile Big Data. Lecture Notes on Data Engineering and Communications Technologies, vol 10. Springer, Cham. https://doi.org/10.1007/978-3-319-67925-9_4

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  • DOI: https://doi.org/10.1007/978-3-319-67925-9_4

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