Browse > Article
http://dx.doi.org/10.6109/jkiice.2020.24.12.1688

Edge-Centric Metamorphic IoT Device Platform for Efficient On-Demand Hardware Replacement in Large-Scale IoT Applications  

Moon, Hyeongyun (School of Electronic and Electrical Engineering, Kyungpook National University)
Park, Daejin (School of Electronic and Electrical Engineering, Kyungpook National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.24, no.12, 2020 , pp. 1688-1696 More about this Journal
Abstract
The paradigm of Internet-of-things(IoT) systems is changing from a cloud-based system to an edge-based system to solve delays caused by network congestion, server overload and security issues due to data transmission. However, edge-based IoT systems have fatal weaknesses such as lack of performance and flexibility due to various limitations. To improve performance, application-specific hardware can be implemented in the edge device, but performance cannot be improved except for specific applications due to a fixed function. This paper introduces a edge-centric metamorphic IoT(mIoT) platform that can use a variety of hardware through on-demand partial reconfiguration despite the limited hardware resources of the edge device, so we can increase the performance and flexibility of the edge device. According to the experimental results, the edge-centric mIoT platform that executes the reconfiguration algorithm at the edge was able to reduce the number of server accesses by up to 82.2% compared to previous studies in which the reconfiguration algorithm was executed on the server.
Keywords
Edge computing; Hardware reconfiguration; IoT; Metamorphic Platform;
Citations & Related Records
연도 인용수 순위
  • Reference
1 A. Yousefpour, G. Ishigaki, R. Gour, and J. P. Jue, "On Reducing IoT Service Delay via Fog Offloading," IEEE Internet of Things Journal, vol. 5, no. 2, pp. 998-1010, Apr. 2018.   DOI
2 M. Vogler, J. M. Schleicher, C. Inzinger, and S. Dustdar, "Optimizing Elastic IoT Application Deployments," IEEE Transactions on Services Computing, vol. 11, no. 5, pp. 879-892, Sep.-Oct. 2018.   DOI
3 W. Lie and W. Feng-yan, "Dynamic Partial Reconfiguration in FPGAs," 2009 Third International Symposium on Intelligent Information Technology Application, Shanghai, pp. 445-448, 2009.
4 D. Lee, H. Moon, S. Oh, and D. Park, "mIoT: Metamorphic IoT Platform for On-Demand Hardware Replacement in Large-Scaled IoT Applications," Sensors, vol. 20, pp. 3337, 2020.   DOI
5 C. Esposito, A. Castiglione, F. Pop, and K. K. R. Choo, "Challenges of Connecting Edge and Cloud Computing: A Security and Forensic Perspective," IEEE Cloud Computing, vol. 4, no. 2, pp. 13-17, Mar.-Apr. 2017.   DOI
6 S. Ostanin, A. Matrosova, N. Butorina, and V. Lavrov, "A fault-tolerant sequential circuit design for soft errors based on fault-secure circuit," 2016 IEEE East-West Design & Test Symposium (EWDTS), pp. 1-4, Oct. 2016.
7 V. B. Thati, J. Vankeirsbilck, and J. Boydens, "Comparative study on data error detection techniques in embedded systems," 2016 XXV International Scientific Conference Electronics (ET), pp. 1-4, Sept. 2016.
8 T. Gao, X. Xu, H. Zhang, and H. Yang, "A highly-integrated wireless configuration circuit for FPGA chip," 2014 International Symposium on Integrated Circuits (ISIC), pp. 260-263, Dec. 2014.