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Study and Comparison of Non-traditional Cloud Storage Services for High Load Text Data

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Book cover Proceedings of First International Conference on Information and Communication Technology for Intelligent Systems: Volume 2

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 51))

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Abstract

With the fastest growing nature of application migrating to cloud, the problem of choosing the best suitable cloud service for storage is always a challenge. The cloud storage services are majorly paid service and some of them are designed to deal best with specific kinds of data like read only or update only. Some of the services are designed to match small amount of data blocks and some of the services are designed to best match the larger blocks of data. Many of the application uses file storage, rather than RDBMS storage structure on cloud services. The storage hardware, replication and distribution policies are decided and controlled by cloud storage service providers. The storage options are converted and associated with manageable access portals. This access portal demonstrates the user interface view of the storage visualization and usability. In this paper we compare multiple cloud storage services on high textual data loads and implement an algorithm to choose the best cloud storage service based on cost and storage efficiency.

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Authors and Affiliations

  1. Mother Teresa Institute of Science and Technology, Sathupally, Telangana State, India

    L. Srinivasa Rao

  2. G. Narayanamma Institute of Technology and Science, Hyderabad, Telangana State, India

    I. Raviprakash Reddy

Authors
  1. L. Srinivasa Rao
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  2. I. Raviprakash Reddy
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Correspondence to L. Srinivasa Rao .

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Editors and Affiliations

  1. Deparment of CSE, Anil Neerukonda Ins. of Tech. & Sci., Vishakapatnam, India

    Suresh Chandra Satapathy

  2. Indian Statistical Institute, Jadavpur University, Kolkata, India

    Swagatam Das

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Rao, L.S., Reddy, I.R. (2016). Study and Comparison of Non-traditional Cloud Storage Services for High Load Text Data. In: Satapathy, S., Das, S. (eds) Proceedings of First International Conference on Information and Communication Technology for Intelligent Systems: Volume 2. Smart Innovation, Systems and Technologies, vol 51. Springer, Cham. https://doi.org/10.1007/978-3-319-30927-9_30

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  • DOI: https://doi.org/10.1007/978-3-319-30927-9_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30926-2

  • Online ISBN: 978-3-319-30927-9

  • eBook Packages: EngineeringEngineering (R0)

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