Byonggon Chun
ABSTRACT
Internet of Things (IoT) is one of the most desirable and interesting technologies developed over the past decades. Nowadays, smart things such as mobile phone, home and industrial IoT devices generates massive data and send it to centric cloud system. Edge computing which processes data using its own resources without cloud system became a trend in industrial field. In this paper, we propose the design and implementation of a lightweight messaging middleware for edge computing that allows real-time message transmission with low resources. Result of experiment shows that the proposed middleware allows better throughput and efficient resource usage than existing schemes on device that has low resources.
- Northeast blackout of 2003. https://en.wikipedia.org/wiki/Northeast_blackout_of_2003.Google Scholar
- Han Hu, Yonggang Wen, Tat-Seng Chua, Xuelong Li. 2014. Toward Scalable Systems for Big Data Analytics: A Technology Tutorial. In IEEE Access Volume 2.Google Scholar
- Ibrahim Abaker Targio Hashem, Ibrar Yaqoob, Nor Badrul Anuar, Salimah Mokhtar, Abdullah Gani, Samee Ullah Khan. 2014. The rise of "big data" on cloud computing. In Information Systems Volume 47 Issue C, January 2015, pages 98--115. Google ScholarDigital Library
- Angelo Corsaro. 2014. A Comparative Study of Data-Sharing Standards for the Internet of Things. In Cutter IT Journal November 2014, pp23--29.Google Scholar
- Chihyun Cho, Byonggon Chun and Jihwan Seo. 2017. Adaptive Batching Scheme for Real-Time Data Transfers in IoT Environment. In 2017 International Conference on Cloud and Big Data Computing 2017, pages 55--59. Google ScholarDigital Library
- Thomas Rausch, Stefan Nastic, Schahram Dustdar. 2018. EMMA: Distributed QoS-Aware MQTT Middleware for Edge Computing Applications. In IEEE International Conference on Cloud Engineering 2018.Google Scholar
- Bukhary Ikhwan Ismail, Ehsan Mostajeran Goortani, Mohd Bazli Ab Karim. 2015. Evaluation of Docker as Edge computing platform. In IEEE Conference on Open System 2015, pages 130--135.Google ScholarCross Ref
- Paolo Bellavista, Alessandro Zanni. 2017. Feasibility of Fog Computing Deployment based on Docker Containerization over RaspberryPi. In 18th International Conference on Distributed Computing and Networking, Article No. 16. Google ScholarDigital Library
- Roberto Morabito. 2017. Virtualization on Internet of Things Edge Devices With Container Technologies: A Performance Evaluation. In IEEE Access Volume 5, pages 8835--8850.Google Scholar
Index Terms
- Design and Implementation of Lightweight Messaging Middleware for Edge Computing
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