快速FCoE:基于FCoE的SAN存储系统的高效扩展多核框架

Yunxiang Wu, F. Wang, Yu Hua, D. Feng, Yuchong Hu, Jingning Liu, Wei Tong
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引用次数: 2

摘要

在基于fcoe的SAN存储中,由于软件层次结构的高度复杂性和同步访问的共享队列和锁机制,现有用于远程目标访问的I/O堆栈成为性能瓶颈,从而导致高I/O开销和限制多核服务器的I/O可扩展性。对于可扩展性能,现有的工作主要集中在提高锁算法的效率或减少同步点的数量以减少同步开销。然而,同步问题仍然存在,并导致有限的I/O可伸缩性。本文提出了一种基于FCoE的SAN存储的远程存储访问协议栈框架Fast FCoE。Fast FCoE使用私有的每cpu结构,并禁用内核抢占来处理I/ o。这种方法避免了同步开销。为了提高I/O效率,Fast FCoE直接将来自块层的请求映射到FCoE帧。Fast FCoE的一个显著特点是使用标准接口,因此支持所有上层软件(如现有的文件系统和应用程序),并在现有基础设施(如适配器、交换机、存储设备)中提供灵活的使用。我们的研究结果表明,Fast FCoE实现了高效和可扩展的I/O吞吐量,对于读/写请求获得1107.3K/ 833.1 k IOPS(是Open-FCoE堆栈的5.43/4.88倍)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast FCoE: An Efficient and Scale-Up Multi-core Framework for FCoE-Based SAN Storage Systems
Due to the high complexity in software hierarchy and the shared queue & lock mechanism for synchronized access, existing I/O stack for remote target access in FCoE-based SAN storage becomes a performance bottleneck, thus leading to a high I/O overhead and limited I/O scalability in multi-core servers. For scalable performance, existing works focus on improving the efficiency of lock algorithm or reducing the number of synchronization points to decrease the synchronization overhead. However, the synchronization problem still exists and leads to a limited I/O scalability. In this paper, we propose Fast FCoE, a protocol stack framework for remote storage access in FCoE based SAN storage. Fast FCoE uses private per-CPU structures and disables the kernel preemption to process I/Os. This method avoids the synchronization overhead. For further I/O efficiency, Fast FCoE directly maps the requests from the block-layer to the FCoE frames. A salient feature of Fast FCoE is using the standard interfaces, thus supporting all upper softwares (such as existing file systems and applications) and offering flexible use in existing infrastructure (e.g., Adaptors, switches, storage devices). Our results demonstrate that Fast FCoE achieves efficient and scalable I/O throughput, obtaining 1107.3K/831.3K IOPS (5.43/4.88 times as much as Open-FCoE stack) for read/write requests.
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