ABSTRACT
As most smart systems such as smart logistic and smart manufacturing are delay sensitive, the current mainstream cloud computing based system architecture is facing the critical issue of high latency over the Internet. Meanwhile, as huge amount of data is generated by smart devices with limited battery and computing power, the increasing demand for energy-efficient machine learning and secure data communication at the network edge has become a hurdle to the success of smart systems. To address these challenges with using smart UAV (Unmanned Aerial Vehicle) delivery system as an example, we propose EXPRESS, a novel energy-efficient and secure framework based on mobile edge computing and blockchain technologies. We focus on computation and data (resource) management which are two of the most prominent components in this framework. The effectiveness of the EXPRESS framework is demonstrated through the implementation of a real-world UAV delivery system. As an open-source framework, EXPRESS can help researchers implement their own prototypes and test their computation and data management strategies in different smart systems. The demo video can be found at https://youtu.be/r3U1iU8tSmk.
- Giuseppe Aceto, Valerio Persico, and Antonio Pescapé, 2020. Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0. Journal of Industrial Information Integration 18 (Jun, 2020), 1--13.Google ScholarCross Ref
- Kai Yang, Qiang Li, and Limin Sun, 2019. Towards automatic fingerprinting of IoT devices in the cyberspace. Computer Networks 148 (Jan, 2019), 318--327.Google Scholar
- Haicheng Chen, Wensheng Dou, Yanyan Jiang and Feng Qin, 2019. Understanding exception-related bugs in large-scale cloud systems. In Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering (ASE). IEEE Press, Piscataway, NJ, 339--351.Google ScholarDigital Library
- Jianli Pan, Jianyu Wang, Austin Hester, Ismail Alqerm, Yuanni Liu and Ying Zhao, 2018. EdgeChain: An edge-IoT framework and prototype based on blockchain and smart contracts. IEEE Internet of Things Journal 6, 3 (Jun, 2018), 4719--4732.Google Scholar
- Hui Yang, Yongshen Liang, Jiaqi Yuan, Qiuyan Yao, Ao Yu, Jie Zhang, 2020. Distributed blockchain-based trusted multi-domain collaboration for mobile edge computing in 5G and beyond. IEEE Transactions on Industrial Informatics Early Access (Jan, 2020), 1--11.Google ScholarCross Ref
- Mengting Liu, Yinglei Teng, F. Richard Yu, Victor C. M. Leung and Mei Song, 2020. A mobile edge computing (MEC)-enabled transcoding framework for blockchain-based video streaming. IEEE Wireless Communications 27, 2 (Apr, 2020), 81--87.Google ScholarCross Ref
- Pathum Chamikara Mahawaga Arachchige, Peter Bertok, Ibrahim Khalil, Dongxi Liu, Seyit Camtepe, Mohammed Atiquzzaman and Mohammed Atiquzzaman, 2020. A trustworthy privacy preserving framework for machine learning in industrial iot systems. IEEE Transactions on Industrial Informatics (Feb, 2020), 1--11.Google Scholar
- Jia Xu, Xuejun Li, Xiao Liu, Chong Zhang, Lingmin Fan, Lina Gong and Juan Li, 2019. Mobility-aware workflow offloading and scheduling strategy for mobile edge computing. In Proceedings of the International Conference on Algorithms and Architectures for Parallel Processing. Springer, Cham, Switzerland, 184--199.Google Scholar
- Orestis Mavropoulos, Haralambos Mouratidis, Andrew Fish and Emmanouil Panaousis, 2019. Apparatus: A framework for security analysis in internet of things systems. Ad Hoc Networks, 92 (Sep, 2019), 1--11Google Scholar
Index Terms
- EXPRESS: an energy-efficient and secure framework for mobile edge computing and blockchain based smart systems
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