用户活动的传感器记录是其在装有简单普适传感器的智能空间中交互所产生的上下文信息，使用这些上下文信息可以感知用户活动。有关研究表明手工标记等方法对这些传感器记录分类是不准确和费时的，而且用于聚类这些传感器数据的特征值还不足以得到很好的聚类效果。因此，本文研究如何根据活动理论从传感器记录中提取特征值动作链，并且用k-平均和层次聚类算法对所提取的特征值和活动时间进行聚类，从而实现对活动数据进行标记。本文提出了一种关于用户活动的传感器记录的特征值提取方法，用来改善这类数据的标记过程，为以后的应用提供训练样本。

Aiming at the characteristic of the dependency between the application components and the application server platform, a rejuvenation strategy with two different levels of rejuvenation granularities is put forward in this paper including the application component rejuvenation and the application server system rejuvenation. The availability and maintenance cost functions are obtained by means of establishing the application server aging model and the boundary condition of the optimal rejuvenation time is analyzed. Theory analysis indicates that the two-level rejuvenation strategy is superior to the traditional single level one. Finally, evaluation experiments are carried out and numerical result shows that compared with the traditional rejuvenation policy, the rejuvenation strategy proposed in this paper can further increase availability of the application server and reduce maintenance cost.

A novel algorithm of task allocation of mobile agent in ad hoc network is introduced in this paper. This algorithm extends the task oriented negotiation method to task allocation of n-people cooperation, makes the allocation balanceable to satisfy agents as much as possible. This algorithm also reduces the whole cooperation cost a lot. The simulation result is given at the end, and it proves that this algorithm is very useful in ad hoc network.

gy,the computer application under distributed environment has become a trend of development. However,the even higrher requirement of the data consistency and integrality under the distributed environment makes the traditional transaction process technology incompetent. To meet the new challenge，the Object Transaction Service model for distributed application environment was proposed,it combines both the traditional transaction process technology and the distributed object technology. The Object Transaction Management System (OTMS) we implemented was based on the OTS Mol，which providesfull capability of transaction service and management. Both the theory and the concrete implement technology of Object Transaction Management System are presented in this PapeF.

According to the characteristics of the operational behavior and runtime state of application sever, the resource consumption time series are observed and modeled by fuzzy wavelet network (FWN) with fuzzy logic inference and learning capability. The objective is to model the extracted data series of systematic performance parameters to predict software aging in application server. The dimensionality of input variables of FWN is reduced by principal components analysis (PCA), and the structure and parameters of FWN are optimized with adaptive genetic algorithm (GA). Judging by the model, we can get the aging threshold before application server failed and preventively maintenance the application server before systematic parameter value reaches the threshold. The experiments are carried out to validate the efficiency of the proposed model and show that the aging prediction model based on FWN with adaptive genetic algorithm is superior to the neural network (NN) model and wavelet network (WN) model in the aspects of convergence rate and prediction precision.