Express: An Energy-Efficient and Secure Framework for Mobile Edge Computing and Blockchain based Smart Systems**This research is in part supported by the National Natural Science Foundation of China Project No. 61972001
Express: An Energy-Efficient and Secure Framework for Mobile Edge Computing and Blockchain based Smart Systems**This research is in part supported by the National Natural Science Foundation of China Project No. 61972001
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DOI：
10.1145/3324884.3415294
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发表时间：
2020-09
期刊：
影响因子：
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通讯作者：
Jia Xu;Xiao Liu;Xuejun Li;Lei Zhang;Yun Yang
中科院分区：
文献类型：
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作者：
Jia Xu;Xiao Liu;Xuejun Li;Lei Zhang;Yun Yang
由于智能物流、智能制造等智能系统大多对时延敏感，当前主流的基于云计算的系统架构面临着互联网高时延的关键问题。同时，由于电池和计算能力有限的智能设备产生大量数据，对网络边缘节能机器学习和安全数据通信的需求不断增加，已成为智能系统成功的障碍。为了以智能无人机（无人机）配送系统为例解决这些挑战，我们提出了 EXPRESS，一种基于移动边缘计算和区块链技术的新型节能且安全的框架。我们专注于计算和数据（资源）管理，这是该框架中最重要的两个组成部分。 EXPRESS 框架的有效性通过实际无人机投放系统的实施得到了证明。作为一个开源框架，EXPRESS可以帮助研究人员实现自己的原型并在不同的智能系统中测试他们的计算和数据管理策略。演示视频可在 https://youtu.be/r3U1iU8tSmk 找到。
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.