Research on DCN Traffic Scheduling Based on Private Cloud Platform

Yongchao Zhao, Ying Xie, Haifei Qin

Abstract


In the virtual switching of multi-tenant network under private cloud, the traffic load in peak period is too large to ensure the balance and bandwidth quality of service, while in the low period, the traffic load is too low to waste computing resources. Based on the current SDN, using Openflow to send traffic table to the data plane to realize dispatching and classifying the data flow according to the granularity of the data flow, and considering the factors such as QoS and resource utilization. This paper studies the hybrid scheduling strategy and priority based dynamic scheduling strategy to ensure the load balance and service quality in the peak period, in the low period, the utilization and throughput of computing resources are maintained.

Keywords


private cloud, DCN, traffic scheduling


DOI
10.12783/dtetr/mcaee2020/34993

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