Make It Real: An End-to-End Implementation of A Physically Disaggregated Data Center

Q3 Computer Science Operating Systems Review (ACM) Pub Date : 2023-06-26 DOI:10.1145/3606557.3606559
Yiying Zhang
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引用次数: 0

Abstract

Resource disaggregation is an approach to separate different hardware resources into independent pools in a data center, so that these pools can be easily managed and their resources can be allocated in a tight but unbounded way. The past decade has seen research and practices in realizing the resource-disaggregation idea on regular servers. We advocate for a physically disaggregated data center, where disaggregated resource pools consist of hardware devices, not servers. Physical disaggregation could unlock another level of benefits in resource disaggregation, including further improved cost saving, easier maintenance and scaling, and more customization. This paper presents our efforts in building an end-to-end physically disaggregated data center, including the design and implementation of disaggregated hardware devices, networking systems for connecting these devices, operating systems for orchestrating them, and porting of traditional and cloud-computing applications to this physically disaggregated platform.
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实现:物理分解数据中心的端到端实现
资源分解是一种将不同的硬件资源分离到数据中心中独立的资源池中的方法,这样可以方便地管理这些资源池,并且可以以严格但不受限制的方式分配资源。在过去的十年中,在常规服务器上实现资源分解思想已经有了很多研究和实践。我们提倡物理上分解的数据中心,其中分解的资源池由硬件设备组成,而不是服务器。物理分解可以释放资源分解的另一个层面的好处,包括进一步提高成本节约,更容易维护和扩展,以及更多的定制。本文介绍了我们在构建端到端物理分解数据中心方面所做的努力,包括设计和实现分解硬件设备、用于连接这些设备的网络系统、用于编排它们的操作系统,以及将传统和云计算应用程序移植到这个物理分解平台。
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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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