One Big Happy Family: Sharing the S3 Layer between Ceph, CORTX, and DAOS

A. Tkachuk, Zuhair AlSader
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Abstract

Object storage has transformed the storage industry. Freed from the complex hierarchical organization of file systems, object storage systems have achieved tremendous growth and scalability in the past two decades. However, object storage systems for Enterprise/Cloud computing and those for High Performance Computing (HPC) have had some differences; the main difference being the client interface. Enterprise computing has preferred a GET-PUT interface which, similar to Map-Reduce, has enabled tremendous human productivity by simplifying the interface. Whereas, typical HPC frameworks tend to optimize computational productivity over human productivity which means they prefer more complex, low-level interfaces with more flexibility and more ability to optimize. Given this, it is no surprise that three object storage systems (Ceph, CORTX, and DAOS) originally motivated by HPC all have similar low-level interfaces (librados, libmotr, and libdaos respectively). However, given the increased convergence of Cloud and HPC, these object storage systems also need to support the industry standard interface which has becomes Amazon's S3 protocol. In this talk, we will discuss how the Ceph project was the first to add an S3 layer, how they later made it modular so that multiple object backends could share it, and how two small groups of engineers have added modular backends for both CORTX and DAOS.
一个快乐的大家庭:在Ceph、CORTX和DAOS之间共享S3层
对象存储改变了存储行业。对象存储系统摆脱了复杂的文件系统层次结构,在过去的二十年里取得了巨大的发展和可扩展性。然而,用于企业/云计算的对象存储系统与用于高性能计算(HPC)的对象存储系统存在一些差异;主要区别在于客户端接口。企业计算更喜欢GET-PUT接口,它与Map-Reduce类似,通过简化接口,极大地提高了人类的生产力。然而,典型的HPC框架倾向于优化计算生产力而不是人类生产力,这意味着它们更喜欢更复杂、更低层次的接口,具有更大的灵活性和更强的优化能力。考虑到这一点,最初由HPC驱动的三个对象存储系统(Ceph、CORTX和DAOS)都具有类似的低级接口(分别为librados、libmotor和libdaos)也就不足为奇了。然而,考虑到云计算和高性能计算的日益融合,这些对象存储系统还需要支持行业标准接口,即Amazon的S3协议。在这次演讲中,我们将讨论Ceph项目如何成为第一个添加S3层的项目,他们后来如何将其模块化,以便多个对象后端可以共享它,以及两个工程师小组如何为CORTX和DAOS添加模块化后端。
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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