Personal Storage Management Model base on Personal Cloud

• Main Authors: Meng-Zhe Li, 李孟哲
• Other Authors: Lee, Huey-Ming
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/46201328019158992197

碩士 === 中國文化大學 === 資訊管理學系 === 101 === With the rapid development of cloud computing, Software as a Service (SaaS) is one of the cloud models as a service and platform for data storage. Therefore, it is a critical issue that how to effectively send and search data in cloud computing infrastructure. To develop an effective solution, this study focuses on the data storage and delivery in personal cloud. 　　There are three modules composed in our Personal Storage Management Model. The first one called personal post capture module, which function is to collect the personal post including characters, pictures and links etc, we develop a post process storage module to decide whether the system should upload the captured post to cloud storage with the algorithm of Back-Propagation Neural Network, BPN. 　　If the post should be uploaded, the module will transfer the JSON format to both XML and BJSON format, to build the index primary post ID and send it to save in the distribution index management module. The third module called distribution index management module which is to sort the type of file of processed personal post according to pictures, characters and links in the post process storage module. Then the post will be saved synchronously in cloud computing infrastructure and searched through post ID. 　　We use the Dropbox, cloud computing software, to do the implementation which resizing the file by index and synchronously saving the physical file as a backup file. Our model use Windows 7 as a development platform, also using Visual Studio 2010 C# as a development language, as well as using distribution database as a local storage database. As a result, we find that our model can do 50% space saving for picture files, 70% space saving for character files, and 61% space saving for the mix of picture and character files. 　Our model can do automatic interpretation to decide whether the file should be uploaded or not, and to build the index primary key based on post ID to upload and save in cloud. Finally, our model can save much storage space, reduce storage cost and make uploading effectively.