Recently, Cyber-Physical-Social Systems (CPSS) have been introduced as a new information physics system, which enables personnel organizations to control physical entities in a reliable, real-time, secure, and collaborative manner through cyberspace. Moreover, with the maturity of edge computing technology, the data generated by physical entities in CPSS are usually sent to edge computing nodes for effective processing. Nevertheless, it remains a challenge to ensure that edge nodes maintain load balance while minimizing the completion time in the event of the edge node outage. Given these problems, a Unique Task Offloading Method (UTOM) for CPSS is designed in this paper. Technically, the system model is constructed firstly and then a multi-objective problem is defined. Afterward, Improving the Strength Pareto Evolutionary Algorithm (SPEA2) is utilized to generate the feasible solutions of the above problem, whose aims are optimizing the propagation time and achieving load balance. Furthermore, the normalization method has been leveraged to produce standard data and select the global optimal solution. Finally, several necessary experiments of UTOM are introduced in detail.

中文翻译：

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5G构想的网络-物理-社会系统的带有边缘的任务分担方法

最近，网络物理社会系统（CPSS）被引入作为一种新的信息物理系统，它使人员组织能够通过网络空间以可靠，实时，安全和协作的方式控制物理实体。此外，随着边缘计算技术的成熟，CPSS中的物理实体生成的数据通常被发送到边缘计算节点以进行有效处理。然而，在边缘节点中断的情况下，确保边缘节点保持负载平衡同时最小化完成时间仍然是一个挑战。针对这些问题，本文设计了一种针对CPSS的独特任务分载方法（UTOM）。从技术上讲，首先要构建系统模型，然后定义一个多目标问题。之后，利用改进的强度帕累托进化算法（SPEA2）来产生上述问题的可行解决方案，其目的是优化传播时间并实现负载平衡。此外，已利用归一化方法生成标准数据并选择全局最优解。最后，详细介绍了UTOM的一些必要实验。