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A Scheme to Improve Stream Transaction Rates for Real-Time IoT Applications

  • Chaxiong YukonhiatouEmail author
  • Tomoki Yoshihisa
  • Tomoya Kawakami
  • Yuuichi Teranishi
  • Shinji Shimojo
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 926)

Abstract

Due to the recent proliferation of IoT (Internet of Things) devices, a large amount of stream data such as video data or sensor data is transmitted to remote processing computers. The stream transaction rate is one of the main factors to improve the performance of some IoT applications. For instance, in surveillance systems, the probability to catch a moving person increases as the processing computer analyzes video with a higher transaction rate. To improve stream transaction rates, some schemes reduce communication time between a processing computer and stream data sources. They target periodic stream transactions and assume static transmission intervals. However, the communication and transaction time changes dynamically. Therefore, stream transaction rates can be further improved by changing transmission intervals dynamically depending on it. In this paper, we propose a scheme to improve stream transaction rates by changing transmission intervals dynamically. In our proposed scheme, a processing computer sometimes changes transmission intervals to be the same length as the average transaction time. Moreover, our proposed scheme adopts a progressive quality improvement (PQI) approach to reduce communication and transaction time. Our evaluation results revealed that the proposed scheme can achieve a higher stream transaction rate than a conventional scheme with the PQI approach.

Notes

Acknowledgement

This work was supported in part by JSPS KAKENHI Grant Numbers JP17K00146 and JP18K11316 and by Research Grant of Kayamori Foundation of Informational Science Advancement. Also this work include the result of NICT \(\cdot \) Osaka University joint research “research and development of advanced network platform technology for large scale distributed computing”.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Chaxiong Yukonhiatou
    • 1
    Email author
  • Tomoki Yoshihisa
    • 2
  • Tomoya Kawakami
    • 3
  • Yuuichi Teranishi
    • 2
    • 4
  • Shinji Shimojo
    • 2
  1. 1.Graduate School of Information Science and TechnologyOsaka UniversitySuitaJapan
  2. 2.Cybermedia CenterOsaka UniversitySuitaJapan
  3. 3.Nara Institute of Science and TechnologyIkomaJapan
  4. 4.Network System Research Institute, National Institute of Information and Communications TechnologyTokyoJapan

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