Owing to powerful programmability, software defined networking (SDN) is well aligned with the requirements of NFV datacenters. Although the mainstream SDN frameworks can effectively respond to the requests of control plane, the load distribution among controllers is not balanced due to the request dynamics and request diversity. The existing solutions balance the load of control plane by migrating switches between controllers. However, these solutions are based on the binding between switches and controllers, so they are difficult to adapt to the dynamic and diverse requests. In this paper, we propose a new framework to decouple the binding. The new framework performs modular management for request queues. A complete request queue is provided for each type of request between each switch controller pair, so that the assignment between requests is independent of each other. Based on the proposed framework, we transform the request assignment problem into a variant of the scheduling problem in a Stochastic Processing Network (SPN), and propose a Maximum Pressure Policy (MPP) which can provide runtime guarantees on request throughput and response latency. To fit with the constraints inherent to large-scale deployment, we propose a distributed version of MPP, named DMPP. DMPP runs in local state on each switch and performs scheduling logic for batch requests. We implement a protosystem of our solution and evaluate it on the settings representing real-world scenarios. The results show that our solution can provide guarantees on request throughput and response latency, and significantly outperforms state-of-the-art solutions through a more efficient resource usage

中文翻译：

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NFV数据中心中的动态SDN控制平面请求分配

由于强大的可编程性，软件定义网络（SDN）与NFV数据中心的要求完全吻合。尽管主流的SDN框架可以有效地响应控制平面的请求，但是由于请求动态和请求多样性，控制器之间的负载分配不平衡。现有的解决方案通过在控制器之间迁移开关来平衡控制平面的负载。但是，这些解决方案基于开关和控制器之间的绑定，因此很难适应动态变化的要求。在本文中，我们提出了一个新的框架以解除绑定。新框架对请求队列执行模块化管理。为每个交换机控制器对之间的每种请求类型提供了完整的请求队列，因此请求之间的分配是彼此独立的。基于提出的框架，我们将请求分配问题转换为随机处理网络（SPN）中调度问题的变体，并提出最大压力策略（MPP），该策略可为请求吞吐量和响应延迟提供运行时保证。为了适应大规模部署所固有的约束，我们提出了一种名为DMPP的MPP分布式版本。DMPP在每个交换机上以本地状态运行，并为批处理请求执行调度逻辑。我们实施解决方案的原型系统，并在代表真实场景的设置上对其进行评估。结果表明，我们的解决方案可以保证请求吞吐量和响应延迟，