实验结果表明，该方法能够充分利用动态松弛时间，有效控制调整开销，实现较高的能耗优化率。
Experiments show that this approach can achieve high energy reduction ratio by exploiting the dynamic slack time sufficiently and controlling the scaling overheads effectively.
正如上文所示的固定堆示例，应用程序可能有时的运行速度比调整前快，但仍然由未改变的GC开销甚至更长的平均暂停时间表示。
As the example of fixing the heap above showed, an application may sometimes run faster than it did before being tuned but still be marked by an unchanged GC overhead or even longer mean pauses.
在调整时，一定要考虑大型数据库的额外开销和进行全文搜索的频率。
When sizing, make sure you take into consideration the extra cost of large databases and frequency of full-text searches.
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