Abstract
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.
Highlights
For the past few years, with the perpetual progress of Big Data, Cloud Computing, Internet of things (IoT), and other technologies, traditional physical systems and new information resources are further integrated, forming complex systems that incorporate machines, information, and human, namely, Cyber-Physical-Social Systems (CPSS). ey enable the physical system to have the functions of computation, communication, remote cooperation, etc., and make full use of social information and computing resources to carefully coordinate the physical system
To offer immediate and efficient feedback for the users in CPSS, there is no doubt that edge computing, a significant paradigm, with abundant computing resources, needs to be adequately taken advantage of for users to experience a high quality of service applications in real time [9]
We devote ourselves to the problem of task offloading based on CPSS, in which edge computing technology is reasonably combined. e offloading problem is defined as an optimization problem of the minimizing of the propagation consumption and load balance variance
Summary
For the past few years, with the perpetual progress of Big Data, Cloud Computing, Internet of things (IoT), and other technologies, traditional physical systems and new information resources are further integrated, forming complex systems that incorporate machines, information, and human, namely, CPSS. ey enable the physical system to have the functions of computation, communication, remote cooperation, etc., and make full use of social information and computing resources to carefully coordinate the physical system. To offer immediate and efficient feedback for the users in CPSS, there is no doubt that edge computing, a significant paradigm, with abundant computing resources, needs to be adequately taken advantage of for users to experience a high quality of service applications in real time [9]. Based on the above discussion and questions, a unique task offload method in CPSS based on the technique of edge computing, namely, UTOM, is presented in this paper to optimize the offloading strategy to get the minimum delay and achieve load balance. Compared with the previous works, this paper designed a CPSS-based offloading strategy named UTOM, whose purpose is offloading the tasks from the users in the condition of minimum time consumption and load balance variance
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