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Advances in Mobile Cloud Computing and Big Data in the 5G Era pp 269–288Cite as

Concurrency Control for Mobile Collaborative Applications in Cloud Environments

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Part of the book series: Studies in Big Data ((SBD,volume 22))

Abstract

As the world is progressing quickly towards more connected mobile devices, the use of mobile collaborative applications is gaining an increasing popularity. For instance, real-time data streams and web applications (such as social networking and ad-hoc collaboration) are seamlessly incorporated in mobile applications. Despite this powerful evolution, the resource limitation (energy consumption and unstable connectivity) remains a serious problem against a safe concurrency control for an efficient and continuous use of mobile collaboration. In this chapter, we describe the data consistency issues when mobile applications support collaboration through the cloud. Based on human factors (such as high interactivity and data consistency), we present two concurrency control techniques for offloading and ensuring data synchronization among mobile devices and the cloud. The first technique relies on a client-server style to ensure safe coordination, while the second one supports a peer-to-peer mechanism to achieve a decentralized data synchronization.

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Notes

  1. 1.

    https://www.google.fr/intl/fr/docs/about/.

  2. 2.

    https://c9.io/.

  3. 3.

    https://www.zoho.com/.

  4. 4.

    https://www.google.fr/intl/fr/docs/about/.

  5. 5.

    http://www.ibm.com/mobilefirst/us/en/bring-your-own-device/byod.html.

  6. 6.

    http://www.android-x86.org/.

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Author information

Authors and Affiliations

  1. University of Sciences and Technology Oran ‘Mohamed Boudiaf’ USTO-MB, Oran, Algeria

    Moulay Driss Mechaoui

  2. Université de Lorraine and INRIA-LORIA Grand Est, Nancy, France

    Abdessamad Imine

Authors
  1. Moulay Driss Mechaoui
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  2. Abdessamad Imine
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Corresponding author

Correspondence to Moulay Driss Mechaoui .

Editor information

Editors and Affiliations

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

    Constandinos X. Mavromoustakis

  2. Department of Commerce and Marketing, Technological Educational Institute Crete, Crete, Greece

    George Mastorakis

  3. Department of Computer Science, University Politehnica of Bucharest, Bucharest, Romania

    Ciprian Dobre

Appendix

Appendix

  • Replica: is a copy of the shared data that can be modified at will by the user.

  • Data Consistency: means that data values must be the same for all replicas when there is no updates in transit. This term is used to indicate that the system is able to reflect correctly the updates performed on a copy to all other copies of the shared data.

  • Data Concurrency: means that many users can access simultaneously shared data to perform read and write operations.

  • Data Dependency: an update operation applied on replica may depend on previously performed operations. In other words, the effect of such operation may be influenced by previous operations.

  • Clone: in our case, the clone is a virtual machine Android X86Footnote 6 running in the cloud and has the same features as a physical mobile device.

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Mechaoui, M.D., Imine, A. (2017). Concurrency Control for Mobile Collaborative Applications in Cloud Environments. In: Mavromoustakis, C., Mastorakis, G., Dobre, C. (eds) Advances in Mobile Cloud Computing and Big Data in the 5G Era. Studies in Big Data, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-319-45145-9_11

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  • DOI: https://doi.org/10.1007/978-3-319-45145-9_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45143-5

  • Online ISBN: 978-3-319-45145-9

  • eBook Packages: EngineeringEngineering (R0)

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