Research And Implementation Of Cloud Storage Performance Optimization For Mobile Terminal

With the development and progress of mobile terminals,terminal data show explosive growth,all kinds of photos,video,music and other documents fill the terminal,So the end-users for the machine storage performance requirements are getting higher and higher.Because the local storage of data is difficult to meet the requirements of the majority of users,so this thesis presents the research direction,that is put the user's local data into the cloud storage.After a comprehensive study,it is found that there is a problem of bad memory consumption and cache selection strategy is not ideal in terminal cloud storage.These issues affect the experience of users.In order to solve the problem of memory limitation of mobile terminals,cloud storage is used as a storage medium of end-user data,and the HDFS API is used to develop the tools,so that the data on the terminal can be directly uploaded to the HDFS cluster for storage,reduce the burden on the terminal,and can be downloaded to the local use at any time,simply to achieve the interaction between the terminal and the HDFS cluster.In order to solve the problem that HDFS is not ideal for mobile data support,so after analyzing the existing several small file optimization mechanism,this thesis add a processing module in the process of the terminal store data to the HDFS,to make a judgment to the uploading files,the file which match the judgment conditions need to execute the merge operation,so that to optimize the storage structure.After the comparison experiment we can found that the improvement program can significantly reduce the memory consumption of the NameNode when the system storage of a large number of small files.The cache selection strategy for HDFS clusters is not suitable for terminal data storage.In this,based on the analysis of the terminal data structure,found that the use of cache can significantly reduce operating time.After analyzing various caching mechanisms,this thesis proposes a cache selection algorithm,which is applied to HDFS system.Finally,the improvement strategy is proposed to improve the read efficiency of the file and achieve the goal of optimization.