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Performance Evaluation and Comparison of Various Personal Cloud Storage Services for Healthcare Images

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Cyber Intelligence and Information Retrieval

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 291))

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Abstract

In recent times, usage of personal cloud storage services for storing e-health records in on a rise. This is due to the constant accessibility, easy sharing, and safe storage of the data at a nominal cost. In this paper, we have analyzed the performance of four personal cloud storage services: Google Drive, Dropbox, Sync.com, and Icedrive using medical image data files of various sizes. The parameters checked were number of packets transmitted during file upload and duration of time to upload, download, and delete the files. The results show us a comparative analysis of the personal cloud storage services based on the parameters and also help us identify certain gaps for the future.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Christ Deemed To Be University, Bengaluru, India

    Moumita Roy

  2. Department of Computer Applications, CMR Institute of Technology, Bengaluru, India

    Moumita Roy & Monisha Singh

Authors
  1. Moumita Roy
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  2. Monisha Singh
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Editor information

Editors and Affiliations

  1. Faculdade de Engenharia, Universidade do Porto, Porto, Portugal

    João Manuel R. S. Tavares

  2. Department of Computer and System Sciences, Visva-Bharati University, Santiniketan, India

    Paramartha Dutta

  3. Institute of Engineering and Management, Kolkata, India

    Soumi Dutta

  4. Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India

    Debabrata Samanta

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Roy, M., Singh, M. (2022). Performance Evaluation and Comparison of Various Personal Cloud Storage Services for Healthcare Images. In: Tavares, J.M.R.S., Dutta, P., Dutta, S., Samanta, D. (eds) Cyber Intelligence and Information Retrieval. Lecture Notes in Networks and Systems, vol 291. Springer, Singapore. https://doi.org/10.1007/978-981-16-4284-5_38

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