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With the rapid integration and development of industrial control and information networks, time-sensitive networks based on ethernet have received widespread attention.In these networks, time-triggered communication scheduling is adopted to ensure the determinacy of data transmission.However, existing scheduling algorithms have struggled to rapidly calculate the scheduling tables for large-scale periodic traffic.Therefore, a heuristic scheduling algorithm based on the earliest deadline with weight first-maximum transfer time first was designed.This algorithm, by flexibly adapting traffic sorting weights and enhancing backtracking methods, could resolve the scheduling issues of large-scale traffic in industrial automation scenarios in a relatively short time.Experimental results show that compared to the classic integer linear programming method, the earliest deadline with weight first-maximum transfer time first heuristic scheduling algorithm is able to calculate a more optimal solution for the scheduling table of large-scale periodic traffic more swiftly.

Cloud data center is the representative of the new generation of information infrastructure, and its security has become the focus of attention in recent years, which is of great significance.Based on the analysis of the current cloud security situation, the security architecture, key technologies, and implementation methods of the cloud data center through the emerging concept of endogenous security were explored, hoping to use the mimic structure to solve the endogenous safety and security problems such as vulnerabilities and backdoors that were difficult to deal with by the existing means.Moreover, the endogenous security architecture of cloud data centers and related key technologies were proposed, with the mode and trend of mimic transformation.In the future, endogenous safety and security cloud data centers will provide practical solutions for the construction of a new generation of information infrastructure, which may accelerate the technology application and promotion of the cloud service model.

Cyberspace mimic defense technology is an effective method to deal with backdoor attacks on unknown vulnerabilities in information systems.Its security is closely related to the number and the heterogeneity of the executors and the scheduling strategy.However, in the field of industrial control, the ecological resources of industrial application are relatively closed, and the number of realizable heterogeneous executors is limited.To solve the above problems, a mimic scheduling algorithm for industrial control under the constraints of limited heterogeneous resources was proposed.The experimental results show that the proposed algorithm for triple-redundancy mimic industrial control system was able to select a suitable executor to go online according to environmental characteristics adaptively.Even in a high-intensity attack environment, it can still maintain a high availability probability of 99.24%.