.png){kind=icon}
.png){kind=icon}
Return
A Traffic Scheduling Strategy in SDN Data Center Based on Fibonacci Tree Optimization Algorithm
.png){kind=icon}
PRE
AI
DOI：10.23919/JCC.fa.2020-0742.202511.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
To improve the traffic scheduling capability in operator data center networks, an analysis prediction and online scheduling mechanism (APOS) is designed, considering both the network structure and the network traffic in the operator data center. Fibonacci tree optimization algorithm (FTO) is embedded into the analysis prediction and the online scheduling stages, the FTO traffic scheduling strategy is proposed. By taking the global optimal and the multi-modal optimization advantage of FTO, the traffic scheduling optimal solution and many suboptimal solutions can be obtained. The experiment results show that the FTO traffic scheduling strategy can schedule traffic in data center networks reasonably, and improve the load balancing in the operator data center network effectively.
Keywords:
Fibonacci tree optimization algorithm (FTO)
multi-modal optimization
SDN data center
traffic scheduling