论文标题
考虑多个偏好的物联网的基于区块链的分布式计算资源交易策略
A Blockchain-Based Distributed Computational Resource Trading Strategy for Internet of Things Considering Multiple Preferences
论文作者
论文摘要
基于边缘计算的计算任务卸载可以处理用于物联网（IoT）的传统基于云的系统的性能瓶颈。为了进一步优化计算效率和资源分配，提出了协作卸载，以使从边缘设备到IoT终端设备的卸载。但是，仍然缺乏激励机制来鼓励参与者接管他人的任务。为了应对这种情况，本文提出了一个分布式计算资源交易策略，该策略解决了物联网用户的多个偏好。与大多数现有作品不同，我们的交易策略的目的全面考虑了请求者和合作者的任务延迟，能耗，价格和用户声誉的不同满意度。系统设计使用区块链来增强权力下放，安全性和自动化。与基于经典的双重拍卖匹配机制的交易方法相比，我们的交易策略具有更多的任务折断和执行，而交易结果对具有良好声誉的合作者更友好。
Computational task offloading based on edge computing can deal with the performance bottleneck of traditional cloud-based systems for Internet of things (IoT). To further optimize computing efficiency and resource allocation, collaborative offloading has been put forward to enable the offloading from edge devices to IoT terminal devices. However, there still lack incentive mechanisms to encourage participants to take over tasks from others. To counter this situation, this paper proposes a distributed computational resource trading strategy addressing multiple preferences of IoT users. Unlike most existing works, the objective of our trading strategy comprehensively considers different satisfaction degrees with task delay, energy consumption, price, and user reputation of both requesters and collaborators. The system design uses blockchain to enhance the decentralization, security, and automation. Compared with the trading method based on classical double auction matching mechanism, our trading strategy has more tasks offloaded and executed, and the trading results are friendlier to collaborators with good reputation.
