Method about identifying hot data in solid state memory based on queue count
基于队列计数的固态存储器热数据识别方法*

Now, commonly used recognition method of hot data is focusing on the degree of data access frequency, but it does not effectively reflect the changes between the number of visits with time and resulting in a higher error recognition rate. For this deficiency, this paper designed a hot data recognition algorithm based on queue count, by using the FIFO rule to eliminate the outdated data, and indicated the different hot state of different moments by giving a distinct weight to each element of the queue. Combined with the read and write features of the Flash, introduced the concept of hot area, and reduced the required storage space greatly. Theoretical analysis and experimental results show that this method achieves a better performance in hot data recognition and wear level, and then increases the efficiency of garbage collection and extends the life of the memory.