基于ncq的传统固态硬盘I/O调度

Haoqiang Fan, Song Wu, Shadi Ibrahim, Ximing Chen, Hai Jin, Jiang Xiao, Haibing Guan
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引用次数: 2

摘要

虽然当前公平驱动的I/O调度器能够成功地为并发工作负载分配相等的时间/资源共享,但它们忽略了存储设备层中的I/O请求排队或重新排序,例如本机命令排队(NCQ)。导致不同工作负载的请求不能有平等的机会进入NCQ (NCQ冲突),破坏了公平性。为了解决这个问题,我们首次对NCQ如何影响I/O公平性和SSD利用率进行了系统的实证分析,并据此提出了一个NCQ感知的I/O调度方案NASS。NASS的基本思想是对工作负载的请求调度进行精细控制,以缓解NCQ冲突,提高NCQ利用率。NASS构建在两个核心组件之上:一个评估模型,用于量化工作负载的重要特性;一个调度控制算法,用于设置运行工作负载的适当请求调度。我们将NASS集成到四个最先进的I/O调度器中,并使用广泛使用的基准测试和实际应用程序评估其有效性。结果表明,使用NASS后,I/O调度器的公平性提高了11-23%,同时设备利用率提高了9-29%。
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NCQ-Aware I/O Scheduling for Conventional Solid State Drives
While current fairness-driven I/O schedulers are successful in allocating equal time/resource share to concurrent workloads, they ignore the I/O request queueing or reordering in storage device layer, such as Native Command Queueing (NCQ). As a result, requests of different workloads cannot have an equal chance to enter NCQ (NCQ conflict) and fairness is violated. We address this issue by providing the first systematic empirical analysis on how NCQ affects I/O fairness and SSD utilization and accordingly proposing a NCQ-aware I/O scheduling scheme, NASS. The basic idea of NASS is to elaborately control the request dispatch of workloads to relieve NCQ conflict and improve NCQ utilization. NASS builds on two core components: an evaluation model to quantify important features of the workload, and a dispatch control algorithm to set the appropriate request dispatch of running workloads. We integrate NASS into four state-of-the-art I/O schedulers and evaluate its effectiveness using widely used benchmarks and real world applications. Results show that with NASS, I/O schedulers can achieve 11-23% better fairness and at the same time improve device utilization by 9-29%.
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