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Erschienen in:
2023 | OriginalPaper | Buchkapitel
DAOS Beyond Persistent Memory: Architecture and Initial Performance Results
verfasst von : Michael Hennecke, Jeff Olivier, Tom Nabarro, Liang Zhen, Yawei Niu, Shilong Wang, Xuezhao Liu
Erschienen in: High Performance Computing
Verlag: Springer Nature Switzerland
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Abstract
The Distributed Asynchronous Object Storage (DAOS) is an open source scale-out storage system that is designed from the ground up to support Storage Class Memory (SCM) and NVMe storage in user space. Until now, the DAOS storage stack has been based on Intel Optane Persistent Memory (PMem) and the Persistent Memory Development Kit (PMDK). With the discontinuation of Optane PMem, and no persistent CXL.mem devices in the market yet, DAOS continues to support PMem-based servers but now also supports server configurations where its Versioning Object Store (VOS) is held in DRAM. In this case, the VOS data structures are persisted through a synchronous Write-Ahead-Log (WAL) combined with asynchronous checkpointing to NVMe SSDs. This paper describes the new non-PMem DAOS architecture, and reports first performance results based on a DAOS 2.4 technology preview.