一种分布式并行处理模型的研究

分布式并行处理能够满足基于计算机网络的快速计算的需要。分析了分布式并行处理及几种常见的分布计算模型的特点,给出了适用于ＭＲＣＷ系统的分布并行处理模型及其实现方法,并对该系统的任务分配,容错处理等问题进行了探讨。     

CSCW分布式多任务协作机制的研究

文中对ＣＳＣＷ的多任务协作机制作了深入的研究,系统地描述了多任务协作机制的基本概念和研究内容。给出了一个由群体服务器,应用服务器和应用工具组成的三层结构和多任务协作模型,并重点介绍了基于此模型用Ｊａｖａ语言在ＰＪＶＭ开发平台上实现的一个原型系统－－“网络围棋俱乐部”,该系统可运行在由Ｕｎｉｘ（Ｓｏｌａｒｉｓ２．４）和Ｗｉｎｄｏｗｓ（９５．ＮＴ）组成的异构型网络上。     

基于中间件的客户／多服务器协作模型的研究及应用

结合实际应用,提出基于中间体的客户机／多服务器协作模型,介绍了中间件的一些基础知识,根据此模型给出了DMIS网络应用平台的解决方案。     

分布式入侵检测模型研究

提出了分布级别的概念对分布式入侵检测系统进行分类，并引入信息抽象级别对入侵检测中审计数据所经历的逻辑抽象层次进行表述．在对现有的层次检测模型和协作检测模型的优点和缺陷进行详细分析之后，提出了一种用于分布式入侵检测系统的层次化协作模型(HCM)，并完成了相应的原型系统．该模型可以有效地综合两种现有模型的优点，在保证结点可控性和检测效率的同时提高系统的容错性和协作能力．     

一种基于协作代理的分布式入侵检测模型

在分布式入侵检测系统中,各部件间有时需要互相协作来完成复杂的检测任务,因此需要一种通用而且高效的入侵检测协作机制。本文设计了一种基于协作代理的分布式入侵检测模型,在这种方式中,设计了协作代理,负责对来自于各个入侵检测代理的检测结果进行关联分析,并结合从其他域的协作代理收到的报警消息来检测复杂的入侵行为。     

基于Agent的分布式协作入侵检测系统

分析了当前入侵检测系统及其存在的问题,提出一个基于Agent的分布式协作检测模型(ADCM),给出其原型系统。该模型通过逻辑检测域(LDD)之间的协作通信,完成对新型分布式攻击的检测。实验证明ADCM可以有效地检测出具有一定隐蔽性的、分布式的协作攻击。     

分布式控制中的智能Agent联合协作

联合协作是分布式智能Agent技术应用的核心。该文通过组队协作过程模型和分布式智能Agent系统结构对智能Agent联合协作的组建和分类进行研究,给出在柔性控制中的应用方案。     

一种新的协作模型——动态协作系统模型

ＣＳＣＷ是近年来计算机应用领域的一大热点,出现了许多适用于不同应用背景的系统。本文在对一类特殊的应用领域－动态协同工作进行分析的基础上,总结了当前协作模型主流技术的不足,指出了在动态协作系统中存在的难点问题,并就其中的群体感知、协作控制等关键技术进行了深入的探讨。     

组件化分布式信息处理系统框架

组件技术是面向对象技术的发展，它为分布式异构环境中的多组织域信息处理服务之间的互联提供了技术支持。文章围绕层次化信息模型，介绍了由东北大学软件中心开发反组件技术为基础的分布式信息处理系统框架的设计与实现工作。     

Distributed computing model for processing remotely sensed images based on grid computing

With advances in remote-sensing technology, the large volumes of data cannot be analyzed efficiently and rapidly, especially with arrival of high-resolution images. The development of image-processing technology is an urgent and complex problem for computer and geo-science experts. It involves, not only knowledge of remote sensing, but also of computing and networking. Remotely sensed images need to be processed rapidly and effectively in a distributed and parallel processing environment. Grid computing is a new form of distributed computing, providing an advanced computing and sharing model to solve large and computationally intensive problems. According to the basic principle of grid computing, we construct a distributed processing system for processing remotely sensed images. This paper focuses on the implementation of such a distributed computing and processing model based on the theory of grid computing. Firstly, problems in the field of remotely sensed image processing are analyzed. Then, the distributed (and parallel) computing model design, based on grid computing, is applied. Finally, implementation methods with middleware technology are discussed in detail. From a test analysis of our system, TARIES.NET, the whole image-processing system is evaluated, and the results show the feasibility of the model design and the efficiency of the remotely sensed image distributed and parallel processing system.     

一个基于普适计算的动态协同的信任模型

普适计算环境是一个具有高度动态性的分布式环境,进行信息交互的实体之间存在着自发性和不可预知性。因此,普适计算比传统计算更强调信任的作用,对系统安全也提出了更高的要求。综合了影响信任决策的多个凭证因素,并结合信息安全风险评估,提出一个由信任-信誉模块和风险模块组成的动态协同模型。该模型克服了对影响信任决策的凭证考虑不完整的问题,有利于在实体间建立可靠的信任关系,提高普适环境和信息的安全性。     

基于DCOM的分布式Web模型研究

从传统软件业所面临的挑战出发,分析总结了传统的解决方案及其局限性。根据目前的分布式模式现状,结合当前组件技术和Web技术的发展趋势,详细阐述了基于DCOM的分布式Web模型的原理。     

Distributed and Collaborative Visualization

Visualization is a powerful tool for analyzing data and presenting results in science, engineering and medicine. This paper reviews ways in which it can be used in distributed and/or collaborative environments. Distributed visualization addresses a number of resource allocation problems, including the location of processing close to data for the minimization of data traffic. The advent of the Grid Computing paradigm and the link to Web Services provides fresh challenges and opportunities for distributed visualization—including the close coupling of simulations and visualizations in a steering environment. Recent developments in collaboration have seen the growth of specialized facilities (such as Access Grid) which have supplemented traditional desktop video conferencing using the Internet and multicast communications. Collaboration allows multiple users—possibly at remote sites—to take part in the visualization process at levels which range from the viewing of images to the shared control of the visualization methods. In this review, we present a model framework for distributed and collaborative visualization and assess a selection of visualization systems and frameworks for their use in a distributed or collaborative environment. We also discuss some examples of enabling technology and review recent work from research projects in this field.     

大型三维几何模型在分布式协同设计中实时传输的关键技术

针对网络环境和分布式协同设计的实时性要求，在充分对比CAD模型和三角网格模型特性的基础上，提出了基于三角网格模型进行分布式协同设计，并讨论大型网格模型实时传输的关键技术，以有效的多分辨率模型为基础，在客户机／服务器环境下通过增量传输、选精化和特征映射，实现客户端驱动的产品3D模型的远程实时动态观察和特征参数的在线讨论与修改，系统可跨平台支持多个异地设计节点协同。     

基于Web Service的分布式协同CAD系统框架

采用XML定义了基于Web Service分布式协同CAD系统框架中服务器端和客户端之间特征操作和协同设计的通信协议．该系统以特征为基本协同设计单元，服务器端和客户端之间采用增量式特征信息交互，降低网络流量，增强了系统的响应能力．由于系统基于Web Service构造，因此可以支持跨异构平台协同设计，原型系统的应用表明，该系统可以较好地支持分布式条件下的协同设计。     

基于SMS的分布式系统应用模型

介绍了一种利用GSM网络的SMS(short message service)功能实现分布式计算的应用模型。它利用SMS传递SQL语句,实现站点数据信息的同步,是一种不以Internet为支撑网络的廉价的分布式计算解决方案。     

Distributed Coordination and Workflow on the World Wide Web

This paper describes WebFlow, an environment thatsupports distributed coordination services on theWorld Wide Web. WebFlow leverages the HTTP Webtransport protocol and consists of a number of toolsfor the development of applications that require thecoordination of multiple, distributed servers.Typical applications of WebFlow include distributeddocument workspaces, inter/intra-enterprise workflow,and electronic commerce. In this paper we describe thegeneral WebFlow architecture for distributedcoordination, and then focus on the environment fordistributed workflow.     

Distributed constraint optimization with MULBS: A case study on collaborative meeting scheduling

This paper introduces MULBS, a new DCOP (distributed constraint optimization problem) algorithm and also presents a DCOP formulation for scheduling of distributed meetings in collaborative environments. Scheduling in CSCWD can be seen as a DCOP where variables represent time slots and values are resources of a production system (machines, raw-materials, hardware components, etc.) or management system (meetings, project tasks, human resources, money, etc). Therefore, a DCOP algorithm must find a set of variable assignments that maximize an objective function taking constraints into account. However, it is well known that such problems are NP-complete and that more research must be done to obtain feasible and reliable computational approaches. Thus, DCOP emerges as a very promising technique: the search space is decomposed into smaller spaces and agents solve local problems, collaborating in order to achieve a global solution. We show with empirical experiments that MULBS outperforms some of the state-of-the-art algorithms for DCOP, guaranteeing high quality solutions using less computational resources for the distributed meeting scheduling task.     

基于CORBA的消息中间件的设计与实现

在日益复杂的分布式计算环境中,中间件减少了复杂应用系统的开发和集成的难度,成为分布式计算应用的关键性部件。该文设计并实现了一个基于CORBA的消息中间件系统,提供了在异构平台中分布对象之间进行消息驱动的、透明的、异步的、基于消息内容的消息传输方法。