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Performance analysis of an efficient object-based schema oriented data storage system handling health data

  • S.I. : CICBA 2018
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Abstract

Object-based cloud storage system has an important role in handling big data. All available cloud storage systems deal with scalability, reliability or durability issues. However, there is lack of work addressing data variety. In a previous paper, a basic architecture of an object-based schema oriented data storage system has been proposed which stores data in an encapsulated way. The system comprises account layer, container layer, object layer, database layer and schema layer. In this paper, the architecture proposed in our previous paper has been elaborated. For example, the communication protocols of the proposed system are explained. Moreover, this architecture is realized to test its effectiveness on health data in terms of query execution performance and flexibility on the basis of four different queries of database computation (e.g., append, read, aggregate and delete). The result set are collected on three types of datasets (table, document, file) taken from healthcare scenario. Each type of dataset consists of four different sets of data records. The performance is compared with Amazon S3 (i.e., bucket oriented object-based data storage system) and Microsoft Azure (i.e., account-container oriented object-based data storage system). Flexibility property is also analyzed with respect to these three database operations (i.e., READ, WRITE and DELETE) on three types of experimental datasets (table, document, file) with Amazon S3.

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Acknowledgements

This work is done under project ‘Remote Health: A framework of healthcare services using mobile and sensor-cloud technologies.’ The project is funded by Information Technology Research Academy (ITRA), Government of India under ITRA-Mobile Grant ITRA/15(59)/Mobile/RemoteHealth/01, Media Lab of Asia.

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Authors and Affiliations

  1. School of Mobile Computing and Communication, Jadavpur University, Kolkata, India

    Anindita Sarkar Mondal

  2. Department of Computer Science and Engineering, Jadavpur University, Kolkata, India

    Sarmistha Neogy & Nandini Mukherjee

  3. Department of Information Technology, Jadavpur University, Kolkata, India

    Samiran Chattopadhyay

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  1. Anindita Sarkar Mondal
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  2. Sarmistha Neogy
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  3. Nandini Mukherjee
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  4. Samiran Chattopadhyay
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Correspondence to Anindita Sarkar Mondal.

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Mondal, A.S., Neogy, S., Mukherjee, N. et al. Performance analysis of an efficient object-based schema oriented data storage system handling health data. Innovations Syst Softw Eng 16, 63–77 (2020). https://doi.org/10.1007/s11334-019-00354-2

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  • DOI: https://doi.org/10.1007/s11334-019-00354-2

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