Object storage solutions potentially address long-standing performance issues with POSIX file systems for certain I/O workloads, and new storage technologies offer promising performance characteristics for data-intensive use cases. In this work, we present a preliminary assessment of Intel's Distributed Asynchronous Object Store (DAOS), an emerging high-performance object store, in conjunction with non-volatile storage and evaluate its potential use for HPC storage. We demonstrate DAOS can provide the required performance, with bandwidth scaling linearly with additional DAOS server nodes in most cases, although choices in configuration and application design can impact achievable bandwidth. We describe a new I/O benchmark and associated metrics that address object storage performance from application-derived workloads.

翻译：对象存储解决方案有望解决POSIX文件系统在特定I/O负载中长期存在的性能问题，而新型存储技术为数据密集型应用场景提供了有前景的性能特征。本研究对英特尔分布式异步对象存储（DAOS）这一新兴高性能对象存储与非易失性存储的结合进行了初步评估，并探讨了其在HPC存储中的潜在应用。研究表明，DAOS能够提供所需的性能，大多数情况下带宽随DAOS服务器节点数量线性扩展，尽管配置与应用设计的选择可能影响可实现的带宽。我们描述了一种新的I/O基准测试及其相关指标，该测试基于应用衍生的负载评估对象存储性能。