A Google Gears Based Implementation of Article Synchronization Platform

The problems of data synchronization have existed for a long time, and the network system of sharing articles also has this kind of problem. We need to share articles through networks, thus if we can synchronized our article data, we can improve the usage rate of the system. Therefore, users can view the synchronized articles offline. Our research is about designing and implementing a synchronization function to an article sharing system based on the Google Gears. Thus, in this thesis I will explain how to achieve this goal with Google Gears, and demonstrate the final results. The major languages of implementing our system are PHP and JavaScript, and we also use two kinds of database, which are MySQL and SQLite, as the storage of the articles. With these tools we can efficiently implement our system and provide users with the functions of viewing and editing OFFLINE.