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An Architecture for Memory Centric Active Storage (MCAS)
arXiv - CS - Hardware Architecture Pub Date : 2021-02-26 , DOI: arxiv-2103.00007
Daniel Waddington, Clem Dickey, Moshik Hershcovitch, Sangeetha Seshadri

The advent of CPU-attached persistent memory technology, such as Intel's Optane Persistent Memory Modules (PMM), has brought with it new opportunities for storage. In 2018, IBM Research Almaden began investigating and developing a new enterprise-grade storage solution directly aimed at this emerging technology. MCAS (Memory Centric Active Storage) defines an evolved network-attached key-value store that offers both near-data compute and the ability to layer enterprise-grade data management services on shared persistent memory. As a converged memory-storage tier, MCAS moves towards eliminating the traditional separation of compute and storage, and thereby unifying the data space. This paper provides an in-depth review of the MCAS architecture and implementation, as well as general performance results.

中文翻译:

以内存为中心的主动存储(MCAS)的体系结构

诸如Intel的Optane持久存储模块(PMM)之类的具有CPU的持久存储技术的出现为存储带来了新的机遇。在2018年,IBM Research Almaden开始研究和开发直接针对这项新兴技术的新企业级存储解决方案。MCAS(以内存为中心的活动存储)定义了一种经过网络扩展的键-值存储,该存储既提供近数据计算又可以在共享持久性存储器上分层企业级数据管理服务。作为融合的内存存储层,MCAS致力于消除传统的计算和存储分离,从而统一数据空间。本文对MCAS的体系结构和实施以及一般的性能结果进行了深入的回顾。
更新日期:2021-03-02
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