Abstract

Non-Volatile Memory Express (NVMe) is a specification for next-generation solid-state disks (SSDs). Benefited from the massive internal parallelism and the high-speed PCIe bus, NVMe SSDs achieve extremely high data transfer rates, and they are an ideal solution of shared storage in virtualization environments. Providing virtual machines with Service Level Objective (SLO) compliance on NVMe SSDs is a challenging task, because garbage collection activities inside of NVMe SSDs globally affect the I/O performance of all virtual machines. In this study, we introduce a novel approach, called parallelism reservation, which is inspired by the rich internal parallelism of NVMe SSDs. The degree of parallelism stands for how many flash chips are concurrently active. Our basic idea is to reserve sufficient degrees of parallelism for read, write, and garbage collection operations, making sure that an NVMe SSD delivers stable read and write throughput and reclaims free space at a constant rate. The stable read and write throughput are proportionally distributed among virtual machines for SLO compliance. Our experimental results show that our parallelism reservation approach delivered satisfiable throughput and highly predictable response to virtual machines.

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