Flash storage is 1000x faster for both random and sequential IOPS.
闪存无论是随机还是连续的IOPS都要比它们快1000倍。
These data are capacity bound rather than IOPS bound and flash is an expensive way to get capacity.
这些数据更关乎容量，而不是IOPS，而通过闪存获取容量的代价颇为不菲。
Figure 2 shows the IOPS that were measured on both the front end and back end during the same test run.
图2显示了在同一个测试过程中在前端和后台所测试到的iops值。
Figure 4 shows the IOPS that were measured on both the front end and back end during this test run.
图4显示在测试的前端和后台所测得的iops值。
The classic discussion database showed fewer IOPs for the 200 users supported with response times less than one second.
经典讨论数据库显示，在支持200个用户且响应时间小于一秒的情况下，经典讨论数据库IOP更少。
The type of CPU used, IOPS needed, and throughput desired are the factors that determine exactly how many HDDs are required.
使用的CPU类型、所需要的 IOPS和预期吞吐量是准确确定所需要的 HDD 数量的因数。
Patients with sickle cell disease or trait are particularly susceptible to glaucomatous optic nerve damage from even mildly elevated IOPs.
对于患有镰状细胞贫血的患者而言，即使是轻微的IOP升高，也很有可能造成青光眼性视神经损伤。
As Figure 2 illustrates, approximately 30,000 IOPS were measured on the front end, which is an excellent number considering only eight (8) EFDs were used.
图2显示，前端测得的IOPS值约为30,000，这是只使用8个EFD能达到的非常高的结果了。
And since the latency of flash is sub-millisecond, it should be possible to see that, even for a single-threaded process, a much larger number of IOPS is possible.
由于闪存的时延是亚毫秒级，所对对于单线程的进程而言可以有很大的IOPS。
He believes SSD is a great technology to replace hard disks in very high IOPS workloads, or when data cannot go to disk and must be held by main-memory (RAM) caches.
他认为，对于IOPS非常高的工作，或者在数据不能写入磁盘，必须缓存在内存(RAM)里面的情况下，SSD是一项替换硬盘的伟大技术。
In fact, in a Symmetrix storage array, one EFD can deliver IOPS equivalent to thirty 15,000 RPM hard disk drives with a response time of approximately 1 millisecond.
事实上，在一个Symmetrix存储阵列中，一个EFD能够以大约1毫秒的响应时间实现与30个15,000r PM硬盘驱动器相同的IOPS。
Therefore, in many customer environments, to maintain the high IOPS rate needed to service database workloads and to provide reasonable response times, less data is physically placed on each HDD used.
因此，在许多客户环境中，要维持这样高的支持数据库工作负载的IOPS速度并实现合理的响应时间，只能在所使用的每个HDD上物理存储较少的数据。
Therefore, in many customer environments, to maintain the high IOPS rate needed to service database workloads and to provide reasonable response times, less data is physically placed on each HDD used.
因此，在许多客户环境中，要维持这样高的支持数据库工作负载的IOPS速度并实现合理的响应时间，只能在所使用的每个HDD上物理存储较少的数据。
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