A State-Aware Method for Flows With Fairness on NVMe SSDs With Load Balance

Abstract

Nowadays, solid-state drives (SSDs) have become the best choice of storage devices because of its brilliant advantages such as small size, low-power consumption, shake resistance, fast access and non-volatility, when compared with hard-disk drives (HDDs). More and more scenarios adopt a multi-SSD architecture to improve performance and expand storage capacity, such as cloud services, database centers, distributed systems and virtualized environments. When multiple users (flows) are competing for shared multiple SSDs concurrently, if the multi-SSD architecture lacks a fairness strategy among multiple users, a user that takes up more resources can affect other users. Meanwhile, if the multi-SSD architecture lacks a load-balance strategy among multiple shared SSDs, some specific SSDs may receive too many I/O requests to degrade the performance and shorten the lifespan. Therefore, we will propose a state-aware method to consider flows with fairness on NVMe SSDs with load balance. According to experimental results, we can show that the proposed method can improve the fairness by 1.15x <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\sim$</tex-math></inline-formula> 1.19x and the load balance by 1.18x <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\sim$</tex-math></inline-formula> 3.15x on average, when compared to other methods.