Swapping to Remote Memory over InfiniBand: An Approach using a High Performance Network Block Device

Shuang Liang, R. Noronha, D. Panda
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引用次数: 116

Abstract

Traditionally, operations with memory on other nodes (remote memory) in cluster environments interconnected with technologies like Gigabit Ethernet have been expensive with latencies several magnitudes slower than local memory accesses. Modern RDMA capable networks such as InfiniBand and Quadrics provide low latency of a few microseconds and high bandwidth of up to 10 Gbps. This has significantly reduced the latency gap between access to local memory and remote memory in modern clusters. Remote idle memory can be exploited to reduce the memory pressure on individual nodes. This is akin to adding an additional level in the memory hierarchy between local memory and the disk, with potentially dramatic performance improvements especially for memory intensive applications. In this paper, we take on the challenge to design a remote paging system for remote memory utilization in InfiniBand clusters. We present the design and implementation of a high performance networking block device (HPBD) over InfiniBand fabric, which serves as a swap device of kernel virtual memory (VM) system for efficient page transfer to/from remote memory servers. Our experiments show that using HPBD, quick sort performs only 1.45 times slower than local memory system, and up to 21 times faster than local disk. And our design is completely transparent to user applications. To the best of our knowledge, it is the first work of a remote pager design using InfiniBand for remote memory utilization
通过InfiniBand交换到远端内存:一种使用高性能网络块设备的方法
传统上,在与千兆以太网等技术相连的集群环境中,对其他节点(远程内存)上的内存进行操作的成本很高,延迟比本地内存访问慢几个数量级。现代支持RDMA的网络,如InfiniBand和Quadrics,提供几微秒的低延迟和高达10 Gbps的高带宽。这大大减少了现代集群中访问本地内存和远程内存之间的延迟差距。可以利用远程空闲内存来减少单个节点的内存压力。这类似于在本地内存和磁盘之间的内存层次结构中添加一个额外的级别,可能会显著提高性能,特别是对于内存密集型应用程序。在本文中,我们提出了在InfiniBand集群中设计一个远程内存利用的远程分页系统的挑战。提出了一种基于InfiniBand结构的高性能网络块设备(HPBD)的设计和实现,该设备作为内核虚拟内存(VM)系统的交换设备,用于与远程内存服务器进行高效的页面传输。我们的实验表明,使用HPBD,快速排序的执行速度仅比本地内存系统慢1.45倍,比本地磁盘快21倍。我们的设计对用户应用程序是完全透明的。据我们所知,这是第一个使用InfiniBand进行远程内存利用的远程分页器设计
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