A combination of Function Count-based analysis and learning-oriented estimation could be a natural choice for use during this phase. 在这个阶段,一个自然地选择是组合基于功能点的分析和面向学习的评估。
The error of sketch-based algorithm is stable for frequency estimation, and it is better than count-based algorithms. 略图类算法对频率的估算误差比较稳定,计数型算法则偏大。
Meanwhile, the performance of count-based algorithms is better than that of sketch-based algorithms. 计数型算法的执行效率明显优于略图类算法。
The current FTL which is combined with the queue count-based hot data identifier achieves a better performance in garbage collection efficiency and wear leveling. 本文所设计的结合队列计数热数据识别方法的FTL算法在垃圾回收的效率和磨损均衡等方面均达到了较好的性能。