Semeru: A Memory-Disaggregated Managed Runtime
Semeru: A Memory-Disaggregated Managed Runtime
复制标题
DOI：
--
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Chenxi Wang;Haoran Ma;Siyi Liu;Yuanqi Li;Zhenyuan Ruan;Khanh Nguyen;Michael D. Bond;R. Netravali-R.
中科院分区：
文献类型：
--
作者：
Chenxi Wang;Haoran Ma;Siyi Liu;Yuanqi Li;Zhenyuan Ruan;Khanh Nguyen;Michael D. Bond;R. Netravali-R.
大型数据中心的资源 - 分散体系结构在受欢迎程度上增加了。但是，先前的分解系统是为本地应用设计的。此外，所有这些都要求应用程序具有有效执行的优秀区域。相比之下，用托管语言编写的程序受到定期垃圾收集（GC）的约束，这是一个典型的图形工作负载，当地较差。尽管大多数数据中心应用程序都是用托管语言编写的，但当前系统远非为这些应用程序提供可接受的性能。本文介绍了Semeru，Semeru是一种分布式的JVM，可以大大改善内存分散环境中托管云应用程序的性能。它的设计具有三个主要的创新：（1）通用Java堆，该堆提供了跨CPU和内存服务器的虚拟内存的统一抽象，并允许任何旧版程序在没有修改的情况下运行； （2）分布式GC，该GC将对象跟踪到内存服务器，以使跟踪更接近数据； （3）OS内核中的交换系统可与运行时一起工作，以有效地交换页面数据。对一组广泛部署的系统对SEMERU的评估显示出非常有希望的结果。
Resource-disaggregated architectures have risen in popularity for large datacenters. However, prior disaggregation systems are designed for native applications; in addition, all of them require applications to possess excellent locality to be efficiently executed. In contrast, programs written in managed languages are subject to periodic garbage collection (GC), which is a typical graph workload with poor locality. Although most datacenter applications are written in managed languages, current systems are far from delivering acceptable performance for these applications. This paper presents Semeru, a distributed JVM that can dramatically improve the performance of managed cloud applications in a memory-disaggregated environment. Its design possesses three major innovations: (1) a universal Java heap, which provides a unified abstraction of virtual memory across CPU and memory servers and allows any legacy program to run without modifications; (2) a distributed GC, which offloads object tracing to memory servers so that tracing is performed closer to data; and (3) a swap system in the OS kernel that works with the runtime to swap page data efficiently. An evaluation of Semeru on a set of widely-deployed systems shows very promising results.