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Comparative Analysis for an Optimized Data-Driven System

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Proceeding of International Conference on Computational Science and Applications

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

While designing huge systems based on data access, storage, and retrieval, there are lot of problems faced by developers including ensuring portability, cross-platform support, scalable design, secure platforms, and reduced latency and redundancy. These problems need to be discussed and tackled in order to increase performance and efficiency for the benefit of the end-user. This study makes use of one such data-driven problem involving huge quantities of astronomical data to demonstrate the advantages of using umpteen efficient technologies and services in order to achieve significant improvement in results. Further sections compare and analyse the pros and cons of different technologies and protocols in use in order to derive fruitful conclusions.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Maharashtra Institute of Technology, Pune, India

    Chinmay Pophale, Ankit Dani, Aditya Gutte, Brijesh Choudhary & Vandana Jagtap

Authors
  1. Chinmay Pophale
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  2. Ankit Dani
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  3. Aditya Gutte
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  4. Brijesh Choudhary
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  5. Vandana Jagtap
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Corresponding author

Correspondence to Chinmay Pophale .

Editor information

Editors and Affiliations

  1. University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

    Subhash Bhalla

  2. Hong Kong College of Engineering, Yau Ma Tei, Hong Kong

    Peter Kwan

  3. School of Computer Engineering and Technology, MIT World Peace University, Pune, Maharashtra, India

    Mangesh Bedekar

  4. School of Computer Engineering and Technology, MIT World Peace University, Pune, Maharashtra, India

    Rashmi Phalnikar

  5. School of Computer Engineering and Technology, MIT World Peace University, Pune, Maharashtra, India

    Sumedha Sirsikar

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Pophale, C., Dani, A., Gutte, A., Choudhary, B., Jagtap, V. (2020). Comparative Analysis for an Optimized Data-Driven System. In: Bhalla, S., Kwan, P., Bedekar, M., Phalnikar, R., Sirsikar, S. (eds) Proceeding of International Conference on Computational Science and Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-0790-8_4

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