OS-level Implications of Using DRAM Caches in Memory Disaggregation

B. Gao, Hao-Wei Tee, Alireza Sanaee, Soh Boon Jun, Djordje Jevdjic
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引用次数: 1

Abstract

Memory disaggregation has attracted great attention recently due to its benefits in resource utilization efficiency, isolation of failures, and easier reconfiguration of memory hardware. However, applications running on a system with disaggregated memory are expected to suffer from performance degradation due to increased remote memory access latency and network contention. The performance gap is meant to be bridged using DRAM caches on the processor side, which would filter out most of the network traffic.This work examines the overheads of the disaggregated memory abstraction. By experimenting with both micro-benchmarks and production applications, we observe severe degradation in memory access latency and potential bottlenecks within the OS kernel. These bottlenecks could potentially be avoided through low-level optimizations in memory management tailored for memory disaggregation.
在内存分解中使用DRAM缓存的操作系统级含义
内存分解由于其在资源利用效率、故障隔离和更容易重新配置内存硬件方面的优点而引起了人们的广泛关注。但是,在具有分解内存的系统上运行的应用程序可能会由于增加的远程内存访问延迟和网络争用而遭受性能下降。性能差距意味着使用处理器端的DRAM缓存来弥合,这将过滤掉大部分网络流量。这项工作检查了分解内存抽象的开销。通过对微基准测试和生产应用程序进行实验,我们观察到内存访问延迟和操作系统内核中潜在瓶颈的严重降低。通过为内存分解量身定制的内存管理中的低级优化,可以潜在地避免这些瓶颈。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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