Centaur: Host-Side SSD Caching for Storage Performance Control

Ricardo Koller, A. Mashtizadeh, R. Rangaswami
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引用次数: 47

Abstract

Host-side SSD caches represent a powerful knob for improving and controlling storage performance and improve performance isolation. We present Centaur, as a host-side SSD caching solution that uses cache sizing as a control knob to achieve storage performance goals. Centaur implements dynamically partitioned per-VM caches with per-partition local replacement to provide both lower cache miss rate, better performance isolation and performance control for VM workloads. It uses SSD cache sizing as a universal knob for meeting a variety of workload-specific goals including per-VM latency and IOPS reservations, proportional share fairness, and aggregate optimizations such as minimizing the average latency across VMs. We implemented Centaur for the VMware ESX hyper visor. With Centaur, times for simultaneously booting 28 virtual desktops improve by 42% relative to a non-caching system and by 18% relative to a unified caching system. Centaur also implements per-VM shares for latency with less than 5% error when running micro benchmarks, and enforces latency and IOPS reservations on OLTP workloads with less than 10% error.
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Centaur:用于存储性能控制的主机侧SSD缓存
主机端SSD缓存代表了一个强大的旋钮,用于改善和控制存储性能和提高性能隔离。我们介绍Centaur,作为一个主机端SSD缓存解决方案,它使用缓存大小作为控制旋钮来实现存储性能目标。Centaur实现了动态分区的每个虚拟机缓存和每个分区的本地替换,以提供更低的缓存丢失率、更好的性能隔离和对虚拟机工作负载的性能控制。它使用SSD缓存大小作为满足各种特定于工作负载的目标的通用按钮,包括每个虚拟机的延迟和IOPS保留,比例共享公平性和聚合优化,例如最小化虚拟机的平均延迟。我们在VMware ESX的超级遮阳板上实现了Centaur。使用Centaur,与非缓存系统相比,同时启动28个虚拟桌面的时间提高了42%,与统一缓存系统相比提高了18%。Centaur还在运行微基准测试时实现了每个vm的延迟共享,错误小于5%,并在OLTP工作负载上执行延迟和IOPS保留,错误小于10%。
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