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Consideration for effectively handling parallel workloads on public cloud system
arXiv - CS - Performance Pub Date : 2020-08-14 , DOI: arxiv-2008.06152
Kazuichi Oe

We retrieved and analyzed parallel storage workloads of the FUJITSU K5 cloud service to clarify how to build cost-effective hybrid storage systems. A hybrid storage system consists of fast but low-capacity tier (first tier) and slow but high-capacity tier (second tier). And, it typically consists of either SSDs and HDDs or NVMs and SSDs. As a result, we found that 1) regions for first tier should be assigned only if a workload includes large number of IO accesses for a whole day, 2) the regions that include a large number of IO accesses should be dynamically chosen and moved from second tier to first tier for a short interval, and 3) if a cache hit ratio is regularly low, use of the cache for the workload should be cancelled, and the whole workload region should be assigned to the region for first tier. These workloads already have been released from the SNIA web site.

中文翻译:

有效处理公有云系统并行工作负载的思考

我们检索并分析了富士通 K5 云服务的并行存储工作负载,以阐明如何构建具有成本效益的混合存储系统。混合存储系统由快速但低容量的层(第一层)和慢但容量高的层(第二层)组成。而且,它通常由 SSD 和 HDD 或 NVM 和 SSD 组成。结果,我们发现 1) 仅当工作负载包括一整天的大量 IO 访问时才应分配第一层的区域,2) 应动态选择并移动包含大量 IO 访问的区域第二层到第一层的间隔很短,以及 3) 如果缓存命中率经常很低,则应取消缓存用于工作负载,并将整个工作负载区域分配给第一层区域。
更新日期:2020-08-17
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