基于图非均衡划分的软件定义网络异构控制器负载优化部署

大规模软件定义网络(SDN)往往需要逻辑上集中的控制器在物理上分布式部署。针对控制器部署中控制器负载不均衡的问题,提出一种基于图非均衡划分的SDN异构控制器负载优化部署方法。首先,分析控制器部署要求以及部署带来的控制器负载均衡和时延问题;其次,利用图论和余弦相似度,量化描述和计算异构控制器情况下的控制器负载均衡和时延,并运用图划分理论将控制器负载优化部署问题转化为一个具体的图划分问题;最后,基于多级划分的图划分思想,提出控制器负载优化部署方法。对实际网络拓扑的模拟实验结果表明,提出的部署方法可以有效实现接近最优的控制器负载分布。

Load-aware optimal placement for heterogeneous controllers in software-defined networking based on unbalanced graph partitioning

In wide-area Software Defined Networking (SDN) deployments, logically centralized controllers are usually physically placed in a distributed manner. To address the unbalanced controller load problem in controller placement, a load-aware optimal placement for heterogeneous controllers based on unbalanced graph partitioning was proposed. First, the controller placement problem and related metrics, controller load balance and latency, were analyzed. Secondly, controller load balance and latency caused by controller placement were quantified and computed using graph theory and cosine similarity. Moreover, based on graph partitioning theory, the load-aware controller placement problem was transformed into a specified graph partitioning problem. Finally, a load-aware optimal controller placement scheme was presented based on multi-level graph partitioning. Simulation experiments conducted on real network topologies indicate that the proposed scheme can effectively achieve nearly optimal controller load balance.