Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
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On-Demand Remote Software Code Execution Unit Using On-Chip Flash Memory Cloudification for IoT Environment Acceleration

  • Lee, Dongkyu (School of Electronic and Electrical Engineering, Kyungpook National University) ;
  • Seok, Moon Gi (School of Computer Science and Engineering, Nanyang Technological University) ;
  • Park, Daejin (School of Electronic and Electrical Engineering, Kyungpook National University)
  • Received : 2020.03.19
  • Accepted : 2020.07.03
  • Published : 2021.02.28
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Abstract

In an Internet of Things (IoT)-configured system, each device executes on-chip software. Recent IoT devices require fast execution time of complex services, such as analyzing a large amount of data, while maintaining low-power computation. As service complexity increases, the service requires high-performance computing and more space for embedded space. However, the low performance of IoT edge devices and their small memory size can hinder the complex and diverse operations of IoT services. In this paper, we propose a remote on-demand software code execution unit using the cloudification of on-chip code memory to accelerate the program execution of an IoT edge device with a low-performance processor. We propose a simulation approach to distribute remote code executed on the server side and on the edge side according to the program's computational and communicational needs. Our on-demand remote code execution unit simulation platform, which includes an instruction set simulator based on 16-bit ARM Thumb instruction set architecture, successfully emulates the architectural behavior of on-chip flash memory, enabling embedded devices to accelerate and execute software using remote execution code in the IoT environment.

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References

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