CSR: An initial study of the potential of a new approach to storage QoS for dynamic, multi-service infrastrctures

CMU正在努力开发一种新方法，以便在分布式环境中提供存储服务质量（QoS），从而支持具有时变工作负载的多种服务。 今天的共享存储，无论是否实施QoS，都允许不同服务的工作负载混合，而不考虑不可预测的干扰造成的巨大效率波动。 然而，理想情况下，每个服务都将在分配给它的I/O系统时间的一小部分内看到全部效率，这将提高有效利用率并实现实际的存储QoS控制。 我们正在制定并开始探索一个资源管理体系结构，其中QoS控制是分层的强大的性能绝缘，并配备了数据集分配和松弛剥削的算法。 该项目的最终成果将包括实现新兴虚拟化和云计算环境迫切需要的存储QoS，通过提供我们的存储系统和分布式系统课程中教授的见解来加强CMU和其他地方的教育，并集成到科学家共享集群工作所使用的部署实例中。

CMU is working toward a new approach to providing storage quality-of-service (QoS) in distributed environments supporting multiple services with time-varying workloads. Today's shared storage, whether implementing QoS or not, allows different services' workloads to mix without consideration of the large efficiency swings caused by unpredictable interference. Ideally, however, each service would see full efficiency within the fraction of the I/O system's time allocated to it, which would increase effective utilization and enable practical storage QoS control. We are formulating and beginning exploration of a resource management architecture in which QoS control is layered atop robust performance insulation and equipped with algorithms for dataset assignment and slack exploitation. The eventual outcomes seeded by this project will include enabling the storage QoS critically needed for emerging virtualized and cloud computing environments, enhancing education at CMU and elsewhere by providing insights taught in our storage systems and distributed systems classes, and being integrated into a deployed instance used by scientists sharing a cluster for their work.