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An Open Source Cloud-Based NoSQL and NewSQL Database Benchmarking Platform for IoT Data

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Benchmarking, Measuring, and Optimizing (Bench 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11459))

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Abstract

Internet of Things (IoT) is continually expanding, and the information being transmitted through IoT is often in large-scale in both volume and velocity. With its evolution, IoT raises new challenges such as throughput and scalability of software and database working with it. This is the reason that traditional techniques for data management and database operations cannot adopt the new challenges from IoT data. We need an efficient database system that can handle, store, and retrieve continuous, high-speed, and large-volume data, perform various database operations, and generate quick results. Recent developments of database technologies such as NoSQL and NewSQL database provides promising solutions to IoT. This paper proposes an extensible cloud-based open-source benchmarking framework on how these databases could work with IoT data. Using the framework, we compare the performances of VoltDB NewSQL and MongoDB NoSQL database systems on IoT data injection, transactional operations, and analytical operations.

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Acknowledgment

This work is supported in part by the National Natural Science Foundation of China (No. 61462076).

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Authors and Affiliations

  1. Department of Information Systems, University of Maryland, Baltimore County, Baltimore, MD, 21250, USA

    Arjun Pandya, Chaitanya Kulkarni, Kunal Mali & Jianwu Wang

Authors
  1. Arjun Pandya
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  2. Chaitanya Kulkarni
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  3. Kunal Mali
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  4. Jianwu Wang
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Corresponding author

Correspondence to Arjun Pandya .

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Editors and Affiliations

  1. Chinese Academy of Sciences, Beijing, China

    Chen Zheng

  2. Chinese Academy of Sciences, Beijing, China

    Jianfeng Zhan

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Pandya, A., Kulkarni, C., Mali, K., Wang, J. (2019). An Open Source Cloud-Based NoSQL and NewSQL Database Benchmarking Platform for IoT Data. In: Zheng, C., Zhan, J. (eds) Benchmarking, Measuring, and Optimizing. Bench 2018. Lecture Notes in Computer Science(), vol 11459. Springer, Cham. https://doi.org/10.1007/978-3-030-32813-9_7

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  • DOI: https://doi.org/10.1007/978-3-030-32813-9_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-32812-2

  • Online ISBN: 978-3-030-32813-9

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