Exploring DAOS Interfaces and Performance
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arXiv
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| Hauptverfasser: | , , , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866929518104543232 |
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| author | Manubens, Nicolau Lombardi, Johann Smart, Simon D. Danovaro, Emanuele Quintino, Tiago Hildebrand, Dean Jackson, Adrian |
| author_facet | Manubens, Nicolau Lombardi, Johann Smart, Simon D. Danovaro, Emanuele Quintino, Tiago Hildebrand, Dean Jackson, Adrian |
| contents | Distributed Asynchronous Object Store (DAOS) is a novel software-defined object store leveraging Non-Volatile Memory (NVM) devices, designed for high performance. It provides a number of interfaces for applications to undertake I/O, ranging from a native object storage API to a DAOS FUSE module for seamless compatibility with existing applications using POSIX file system APIs. In this paper we discuss these interfaces and the options they provide, exercise DAOS through them with various I/O benchmarks, and analyse the observed performance. We also briefly compare the performance with a distributed file system and another object storage system deployed on the same hardware, and showcase DAOS' potential and increased flexibility to support high-performance I/O. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_18682 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Exploring DAOS Interfaces and Performance Manubens, Nicolau Lombardi, Johann Smart, Simon D. Danovaro, Emanuele Quintino, Tiago Hildebrand, Dean Jackson, Adrian Distributed, Parallel, and Cluster Computing Distributed Asynchronous Object Store (DAOS) is a novel software-defined object store leveraging Non-Volatile Memory (NVM) devices, designed for high performance. It provides a number of interfaces for applications to undertake I/O, ranging from a native object storage API to a DAOS FUSE module for seamless compatibility with existing applications using POSIX file system APIs. In this paper we discuss these interfaces and the options they provide, exercise DAOS through them with various I/O benchmarks, and analyse the observed performance. We also briefly compare the performance with a distributed file system and another object storage system deployed on the same hardware, and showcase DAOS' potential and increased flexibility to support high-performance I/O. |
| title | Exploring DAOS Interfaces and Performance |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2409.18682 |