Grid capping prevents any one data grid from consuming all of the available elastic cache capacity.
网格映射防止任意一个数据网格占用所有可用的弹性缓存容量。
This is mainly the node's own energy, the size of the cache capacity and the importance of the copies, etc.
节点的自身因素主要是节点自身的能量大小、缓存能力、所携带信息的重要程度等。
When combined, the cache capacity on the drive, the disk algorithms used, the interface speed, and the areal density, produce a disk transfer time.
驱动器上的缓存容量、所使用的硬盘算法、接口速度和磁录密度组合到一起，就构成了磁盘传输时间。
The additional CPUs, amount of level two cache, and memory provided better capacity and response time at specific user loads.
额外的CPU、二级缓存量和内存，在特定用户负载下可提供更好的容量和响应时间。
And when requirements change, you can add or replace host interfaces, grow capacity, add cache and reconfigure the system on the fly-ensuring that it will keep pace with your growing company.
而且当需求改变时，您可以增加或替换主机介面、增加容量、增加快取记忆体，并可线上立即更新系统配置，以确保该架构可跟上企业成长的脚步。
Loading large amounts of data into your cache also usually means that it will be evicted quickly due to your limited memory capacity, which increases GC overhead.
受限于内存容量，向缓存中加载大量数据通常也意味着它们很快会被清除出去，这会增加GC开销。
Cache warm-up after a cold-start is particularly problematic if the component is immediately thrust into a heavy workload requiring the component to respond at full capacity.
如果组件被直接置于需要该组件以全负荷响应的沉重工作负载中，那么缓存冷启动后的预热将是一个大问题。
The near cache is also only useful if it has a large enough capacity to obtain a high hit rate.
近缓存也只有在它含有大量足够空间可用的时候才有用。
Typically, plan for a cache storage capacity of several gigabytes on disk, as well as at least 128 MB of RAM, preferably gigabytes of RAM.
通常，应该在磁盘上规划几千兆字节的高速缓存存储容量，内存至少应该有128MB，最好有几千兆。
However, as hardware upgrades, the capacity of cache is increasing, the performance of storage system is not increasing, or decreasing in sometimes.
然而，随着硬件的升级和缓存空间的不断增加，系统表现出来的性能却未随之提高，有时甚至出现下降的情况。
A single cache server can handle only so many requests at a time, and even pumping up the machine with memory, disk space, and processors takes its capacity only so far.
单一高速缓存服务器每次只能处理这么多请求，即使为机器增加内存、磁盘空间和处理器，目前也只能做到这一步。
A single cache server can handle only so many requests at a time, and even pumping up the machine with memory, disk space, and processors takes its capacity only so far.
单一高速缓存服务器每次只能处理这么多请求，即使为机器增加内存、磁盘空间和处理器，目前也只能做到这一步。
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