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.

Software aging is an important factor that affects the software reliability. According to the characteristic of performance parameters of application sever middleware, a new model for software aging prediction based on wavelet networks is proposed. The structure and parameters of wavelet network are optimized with genetic algorithm and simulated annealing algorithm. The objective is to observe and model the existing resource usage time series of application server middleware to predict accurately future unknown resource usage value. Judging by the model, we can get the aging threshold before application server fails and rejuvenate 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 wavelet network with hybrid genetic algorithm is superior to the BP neural network model and wavelet network model in the aspects of convergence rate and prediction precision.

The unplanned system crash in application server leads to huge maintenance cost. In order to reduce the maintenance cost and prevent the failure, the optimal rejuvenation schedule is put forward based on the degradation of application server. Further, the degradation process of application server is modeled and the long-term cost is analyzed by renew processes theory. Then the boundary condition of the optimal rejuvenation schedule is discussed. Finally, the numerical result shows that the optimal rejuvenation schedule can further reduce the maintenance cost of application server.

以“八六三”项目为背景，在探讨应用服务器技术、组件和框架技术的基础上，通过结合CORBA开放性、跨平台、跨语言的特性和EJB业务处理能力，设计并实现了一个可伸缩、健壮的、支持Web分布式应用的中间应用服务器系统平台，其功能包括：组件容器、管理控制台、事务服务、外部资源管理、名字服务等；并在实际中得到了初步应用，取得了很好的效果。与其它方式的服务相比，它有着易于开发、易于管理和易于加载服务等特点。对其理论背景、体系结构、关键技术以及其上的应用领域框架等进行了全面的研究。

针对企业Java业务组件（EJB）的负载请求特点，提出了基于关联对象组的EJB负载分配算法（ROGRD）。该算法对集群环境下的EJB资源创建情况进行划分，并根据划分的集合在排队论系统模型的基础上建立了代价函数和回报函数，然后依据不同的请求类型，且在请求内容的分布，服务器的负载状况以及服务器的处理性能的衰减3个约束条件下，获得代价最小而回报最大分配方案。实验结果表明，ROGRD比基于位置的请求分配算法的响应时间减少了11%，吞吐量提高了2815%。

基于软件老化现象机理的分类研究，针对资源消耗尽而导致的系统性能衰减和处理容量的下降原因，考虑应用服务器组件和平台之间的老化依赖关系特征，本文提出了软件老化累积损伤的应用服务器再生模型，采取等间隔时间的部分再生和基于资源阈值的两种软件再生的执行策略。获得了应用服务器的维护费和可靠性用函数，同时分析了最优再生时间的边界条件。仿真试验给出了不同内存资源阈值下的，应用服务器的最优再生时间间隔以及变化趋势。