Optimization Method for Safe Operation of Distribution Network in Large-Scale and High-Concurrency Scenario

With the rapid development of information technology, the demand for network applications is increasing, especially online shopping, social media, cloud computing services, etc. These applications need to deal with massive user requests and ensure the real-time accuracy of data. However, the high concurrent network environment has brought unprecedented challenges to the safe operation of the distribution network. Firstly, this paper analyzes the challenges faced by distribution network security in high-concurrency scenarios, including the large-scale growth of network traffic, the complexity of the system, the real-time update of security policies, and resource allocation. Subsequently, the network security architecture of a high parallel distribution network based on a distributed architecture design is proposed, which improves the network security performance and stability by distributing the processing load and enhancing the scalability and fault tolerance of the system. In addition, this paper also puts forward an innovative load-balancing strategy, which can ensure that user requests can be evenly distributed to all servers, optimize resource allocation, and improve system response speed and throughput. Finally, this paper designs a cache mechanism, which can best use cache resources and optimize system performance by reasonably storing and updating cache data. The experimental results show that the proposed optimization method can effectively improve the system performance and ensure stability and response time in high-concurrency scenarios.