我们的第二个假设是指定缓冲池大小对内存利用率的影响因用户负载不同而不同（测试案例 #2）。
Our second hypothesis was that specifying the buffer pool size affects memory utilization differently at various user loads (Test Case #2).
采用Linux，用户还可以针对自己的任务负载对内核进行定制。
Also with Linux, users have the ability to customize the kernel for their workload.
一种示例策略通过取得多个堆转储(使用工作负载管理来维护应用程序的性能)以进行分析，从而对内存泄漏通知做出反应。
On example policy would react to a memory leak notification by taking multiple heap dumps (using workload management to maintain the performance of the application) for analysis.
一种策略通过取得多个堆转储(使用工作负载管理来维护应用程序的性能)以进行分析，从而对内存泄漏通知做出反应。
One policy might react to a memory leak notification by taking multiple heap dumps (using workload management to maintain the performance of the application) for analysis.
每隔两分钟，缓存实现应将当前内存负载与基于百分比的绝对内存限制进行比较。
The cache implementation should compare the current memory load against the absolute and percentage-based memory limits every two minutes.
每隔两分钟，缓存实现应将当前内存负载与基于百分比的绝对内存限制进行比较。
The cache implementation should compare the current memory load against the absolute and percentage-based memory limits every two minutes.
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