LuxIO:智能资源发放和存储服务自动配置

Keith Bateman, N. Rajesh, Jaime Cernuda Garcia, Luke Logan, Jie Ye, Stephen Herbein, Anthony Kougkas, Xian-He Sun
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引用次数: 0

摘要

HPC中的存储通常是单个远程和静态存储(RSS)资源。然而,应用程序展示了不同的I/O需求,多存储方法可以更好地满足这些需求。当前的实践使用运行在节点本地或共享存储资源上的临时存储系统。然而,供应和配置中间存储的负担完全落在用户身上,而全局作业调度器对自定义部署几乎没有支持。这种支持的缺乏通常会导致资源供应过剩或不足,以及存储系统配置不当。为了缓解这种情况,我们提出了LuxIO,这是一种智能存储资源供应和自动配置服务。LuxIO构建的存储部署配置为最好地匹配I/O需求。经过luxio调优的存储服务在常见应用程序和基准测试中显示了高达2倍的性能改进,同时在现有作业调度管道上引入了93.40 ms的最小开销。在选定的工作流中,LuxIO将资源利用率提高了25%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
LuxIO: Intelligent Resource Provisioning and Auto-Configuration for Storage Services
Storage in HPC is typically a single Remote and Static Storage (RSS) resource. However, applications demonstrate diverse I/O requirements that can be better served by a multi-storage approach. Current practice employs ephemeral storage systems running on either node-local or shared storage resources. Yet, the burden of provisioning and configuring intermediate storage falls solely on the users, while global job schedulers offer little to no support for custom deployments. This lack of support often leads to over- or under-provisioning of resources and poorly configured storage systems. To mitigate this, we present LuxIO, an intelligent storage resource provisioning and auto-configuration service. LuxIO constructs storage deployments configured to best match I/O requirements. LuxIO-tuned storage services show performance improvements up to 2× across common applications and benchmarks, while introducing minimal overhead of 93.40 ms on top of existing job scheduling pipelines. LuxIO improves resource utilization by up to 25% in select workflows.
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