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A Comprehensive Study on GMU Protocol and Its Designing Impact in Cloud Computing

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Intelligent Techniques and Applications in Science and Technology (ICIMSAT 2019)

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 12))

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Abstract

Efficient replication technique is the fundamental building block of highly available fault-tolerant cloud system. There are various replication policies that can be implemented in Cloud architecture. Recently proposed cloud application, Cloud-TM, is a data centric middleware platform that aims to reduce operational and administrative cost of cloud application. Cloud-TM integrates GMU (Genuine Multiversion update-serializability partial data replication protocol) in its designing space to support genuine partial replication policy. GMU protocol maintains a tradeoff between consistency and performance. Its consistency semantics guarantees the correctness even in a complex workload. However there are various challenging issues in GMU protocol that are required to be discusses to open up future research scope. In this paper author intervenes in the various aspect of GMU protocol and find its research scope those have notable designing impact in Cloud Data platform.

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Authors and Affiliations

  1. Siliguri Institute of Technology, Siliguri, India

    Ammlan Ghosh

Authors
  1. Ammlan Ghosh
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Correspondence to Ammlan Ghosh .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Siliguri Institute of Technology, Sukna, West Bengal, India

    Subhojit Dawn

  2. Department of Automation and Applied Informatics, Aurel Vlaicu University of Arad, Arad, Arad, Romania

    Valentina Emilia Balas

  3. Department of Psychology and IIASS, Università della Campania “Luigi Vanvitelli”, Caserta, Caserta, Italy

    Anna Esposito

  4. Mizoram University, Aizawl, Mizoram, India

    Sadhan Gope

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Ghosh, A. (2020). A Comprehensive Study on GMU Protocol and Its Designing Impact in Cloud Computing. In: Dawn, S., Balas, V., Esposito, A., Gope, S. (eds) Intelligent Techniques and Applications in Science and Technology. ICIMSAT 2019. Learning and Analytics in Intelligent Systems, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-030-42363-6_14

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