记忆分解:进展与开放的挑战

Q3 Computer Science
H. Maruf, Mosharaf Chowdhury
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引用次数: 0

摘要

在传统数据中心中,计算和内存在每个服务器内紧密耦合。大规模数据中心运营商已经将这种耦合确定为快速资源利用不足和总拥有成本(TCO)增加背后的根本原因。随着超快网络和缓存一致接口的出现,内存分解已成为一种潜在的解决方案,应用程序甚至可以利用服务器边界之外的可用内存。本文从软件的角度总结了内存分解日益增长的研究前景,并介绍了在当前和未来硬件趋势下使其实用化的挑战。我们还回顾了我们在SymbioticLab的七年历程,即在超快网络上构建一个全面的分类记忆系统。最后,我们总结了利用新兴的高速缓存一致互连构建下一代内存分解系统的一些开放挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Memory Disaggregation: Advances and Open Challenges
Compute and memory are tightly coupled within each server in traditional datacenters. Large-scale datacenter operators have identified this coupling as a root cause behind fleetwide resource underutilization and increasing Total Cost of Ownership (TCO). With the advent of ultra-fast networks and cache-coherent interfaces, memory disaggregation has emerged as a potential solution, whereby applications can leverage available memory even outside server boundaries. This paper summarizes the growing research landscape of memory disaggregation from a software perspective and introduces the challenges toward making it practical under current and future hardware trends. We also reflect on our seven-year journey in the SymbioticLab to build a comprehensive disaggregated memory system over ultra-fast networks. We conclude with some open challenges toward building next-generation memory disaggregation systems leveraging emerging cache-coherent interconnects.
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来源期刊
Operating Systems Review (ACM)
Operating Systems Review (ACM) Computer Science-Computer Networks and Communications
CiteScore
2.80
自引率
0.00%
发文量
10
期刊介绍: Operating Systems Review (OSR) is a publication of the ACM Special Interest Group on Operating Systems (SIGOPS), whose scope of interest includes: computer operating systems and architecture for multiprogramming, multiprocessing, and time sharing; resource management; evaluation and simulation; reliability, integrity, and security of data; communications among computing processors; and computer system modeling and analysis.
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