Minimal Fault-Tolerant Coverage of Controllers in IaaS Datacenters

作者：Xie, Junjie; Guo, Deke^*; Zhu, Xiaomin; Ren, Bangbang; Chen, Honghui

来源：IEEE Transactions on Services Computing, 2020, 13(6): 1128-1141.

DOI：10.1109/TSC.2017.2753260

• Cloud computing
• Topology
• Switches
• Network topology
• Servers
• Synchronization
• Cloud datacenters
• minimal coverage
• fault-tolerant
• cloud computing

Large-scale datacenters are the key infrastructures of cloud computing. Inside a datacenter, a large number of servers are interconnected using a specific datacenter network to deliver the infrastructure as a service (IaaS) for tenants. To realize novel cloud applications like the network virtualization and network isolation among tenants, the principle of software-defined network (SDN) has been applied to datacenters. In the setting, multiple distributed controllers are deployed to offer a control plane over the entire datacenter to efficiently manage the network usage. Despite such efforts, cloud datacenters, however, still lack a scalable and resilient control plane. Consequently, this paper systematically studies the coverage problem of controllers, which means to cover all network devices using the least number of controllers. More precisely, we tackle this essential problem from three aspects, including the minimal coverage, the minimal fault-tolerant coverage, and the minimal communication overhead among controllers. After modelling and analyzing such three problems, we design efficient approaches to approximate the optimal solution, respectively. Extensive evaluation results indicate that our approaches can significantly save the number of required controllers, improve the fault-tolerant capability of the control plane and reduce the communication overhead of state synchronization among controllers. The design methodologies proposed in this paper can be applied to cloud datacenters with other networking structures after minimal modifications.

• 出版日期2020-11-1
• 单位中国人民解放军国防科学技术大学