HBase, a NoSql database under Apache Hadoop, is an open source data storage system based on column family. Researches and applications based on HBase is more and more popular. But the size of memory buffer become a key factor to influence system performance as HBase will buffer data in memory before store them on file system. In this paper, we provide a new method based on copied log named Remote Log Process to make HBase perform better on write operation with different buffer size while keeping data durable and available. Experiments result indicates RLP can get a steady performance with different buffer size under the condition to guarantee durable and available of input data, while perform much better than pristine systems if the buffer isn't larger then default value.