Data Center Traffic Rescheduling Algorithm Based on Ant Colony Optimization Algorithm
ShiBin Li, Zhaohua Long · 2023
The state of the data center network is constantly changing. When a large amount of burst traffic occurs, local congestion may occur on some network links, affecting not only network performance but also delay-sensitive small traffic. A traffic rescheduling strategy based on ant colony optimization algorithm is proposed. Based on SDN technology, periodic load detection is carried out on network links to discover congestion links in time. Then, the ant colony optimization algorithm is used to select the transmission path with light load for the data stream that occupies the most bandwidth on the congestion, and the possibility of link congestion is reduced by rescheduling. Finally, the simulation delay proves that the algorithm can improve the network performance and service quality.