Data center storage systems have different workloads and characteristics. In a centralized managed storage paradigm (software defined data center), providing a fault-tolerant system requires the best possible placement, and the least possible numbers of software defined storage (SDS) controllers. The separation of storage intelligence from storage resources raises the SDS controller’s placement problem, which in turn, raises the reliability’s issue (the main controller’s failure leads to unavailability). The unavailability—down time—cost too much to an organization. To protect against the single point of failure, and at the same time, facilitate a fault-tolerant storage network, center of gravity technique is presented for optimal location selection. The method analyzes different work-loads, distance, and link bandwidth among controllers and OpenFlow enabled switches, and proposes multiple optimal locations for the controllers’ deployment. We show the best optimal controllers’ placement for various scenarios, e.g., single optimal placement for a big enterprise, and multiple proposed optimal placements for multiple SDS controllers containing various openFlow switches. These controllers can be the part of a large distributed Internet of Things (IoT) architecture. Experiments show that the work-load, distance, and the bandwidth are three important factors that can affect the whole network’s reliability (the controllers’ placement).

数据中心存储系统具有不同的工作负载和特征。在集中式管理存储范例（软件定义数据中心）中，提供容错系统需要尽可能最佳的布局和尽可能少数量的软件定义存储（SDS）控制器。存储智能与存储资源的分离带来了SDS控制器的放置问题，进而引发了可靠性问题（主控制器故障导致不可用）。不可用（即停机时间）对组织来说成本过高。为了防止单点故障，同时促进存储网络的容错，提出了重心技术来进行最佳位置选择。该方法分析控制器和支持OpenFlow的交换机之间的不同工作负载、距离和链路带宽，并提出控制器部署的多个最佳位置。我们展示了各种场景的最佳控制器放置，例如，大型企业的单个最佳放置，以及包含各种 openFlow 交换机的多个 SDS 控制器的多个建议最佳放置。这些控制器可以成为大型分布式物联网 (IoT) 架构的一部分。实验表明，工作负载、距离和带宽是影响整个网络可靠性（控制器放置）的三个重要因素。