关键词: 透明计算, 用户访问行为, 信息熵, 指数平滑, 行为预测

Abstract: In transparent computing, the server stores and manages the operating system, application and personalized data, and processes users’ resource request from transparent networks. So the server is the bottleneck of system performance. User behavior analysis and prediction has received extensive attention in the field of network computing and social networks. However, there is currently no related work focused on the user behavior characteristics mining under the transparent computing. Based on information entropy and cubic exponential smoothing, the user behavior of transparent computing is analyzed and predicted, to provide effective basis for more efficient cache policies. Firstly, the user requirements are analyzed based on information entropy, and then the exponential smoothing algorithm is used to predict the access frequency of  blocks in the near future. The experiments on the real data are made to test the effectiveness of prediction.

Key words: transparent computing, user access behavior, information entropy, exponential smoothing, behavior prediction