Intrusion Detection Algorithm Based on Convolutional Neural Network

Abstract

A periodic load balancing method is proposed according to the load imbalance of network server in a clustered system of high concurrency. It is divided into different load periods based on the load condition of server node. Corresponding load balancing strategy is adopted for each period that the strategy of fast select is used in the period of small load while the server node with stable response time is first adopted in the period of large load. Periodic load strategy avoids the load imbalance caused by the single load strategy. It can be known from the experimental comparison that the improved periodic load balancing strategy is superior to the load balancing strategy of weighted least connection.