As networks and transmission are becoming increasingly important for computational science
we are working on proposing a journal file transmission algorithm.This new algorithm focusing on optimizing the performance of journal file transmission is independent of transport protocols.Our approach includes two components: the file splitting and buffer memory prediction.The file splitting performs file compression and redundancy elimination
and the buffer memory prediction avoids transferring the redundant data.Experimental results verify that the journal file transmission algorithm can effectively eliminate the redundancy in the journal file and reduce the amount of data transmission by 9.0%.