论文标题
考虑在公共云系统上有效处理并行工作负载
Consideration for effectively handling parallel workloads on public cloud system
论文作者
论文摘要
我们检索并分析了Fujitsu K5 Cloud Service的并行存储工作负载，以澄清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）和缓慢但高容量层（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）仅当工作量包括大量的IO访问时，才应分配第一层的区域，2）包括大量IO访问的区域应动态选择并从第二层转移到短时间间隔的第一层和3），如果要取消命中率，则应将其用于降低的工作，该级别应取消命中率，并分配了降低的工作，并将其分配给工作量。层。这些工作负载已经从SNIA网站发布。
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.
