Most current Grid security techniques concentrate on traditional security aspects such as authentication, authorization, etc. While they have shown their usefulness, the significance of the information hidden in the historical data corpus denoting the user-Grid interactions has been largely neglected. In fact, such information provide great insight into Grid security and if properly harnessed, will help better protect the Grid against potential attacks. To utilize these hidden information in a service-oriented Grid environment, we propose a hybrid machine learning and statistical model. The machine learning component predicts the security of a service by considering the probability distribution of the past services, while the statistical component evaluates a service's security statistically based on its own past behaviors and users' opinions. We construct an overall architecture based on this hybrid model and demonstrate through examples its effectiveness and potential too er stronger security to the Grid.

FISH系统是一个用于支持先进应用（如GIS，EC，CIMS）的新一代分布式对象数据库系统。该系统采用了许多新颖技术，如DSVM（distributed shared virtual memory）、持久堆、页式对象、透明锁、紧凑提交等. 重点介绍了该系统的总体结构和设计思想，特别是FISH系统在WindowsNT上实现所涉及的底层技术，包括内存映射、共享内存、远程过程调用、多线索连接、页面故障处理等。基于007的性能测试表明，FISH系统在NT机群环境下取得了与在分布式UNIX环境下同样高的分布执行效率。

数据流技术是一种正在兴起的新型数据管理技术，在传感器网络、实时监控、实时监测分析等众多关键任务领域具有广泛的用途。本文讨论了实时数据流的特点和关键技术，综述了三个典型数据流系统，介绍了ealStream数据流管理系统的设计思想。

介绍了工作流技术研究与开发的发展状况，讨论了CIMS先进制造中涉及的工作流关键技术。在此基础上，提出基于CORBA技术、支持CIMS应用的工作流管理系统ScopeWork的设计。

Quality of Service (QoS) is an important factor for selecting a better Web service from numerous semantic equivalent Web services in Web services composition. In this paper, a QoS model (e-QoS) for evaluating semantic equivalent Web services is proposed, In which, the factors used to evaluate Web Services include Accessed Times, Invoked Success Rate, Average Responding Time, Stability Variance, and Customers Estimation. The performance of Web services in Latest Period of Time, the performance in history and the performance estimated by customers are considered together. By experiments, we concluded that e_QoS is effective for estimating Web services, and can improve the quality of web services composition greatly.