基于Jini的供应链合作伙伴关系管理的研究与探索

市场逐步全球化,这使得企业之间需要通过合作才能共同增强竞争实力,供应链合作伙伴关系由此应运而生。Jini技术作为一种新的分布计算框架,它的简便灵活的分布式计算和强大的网络服务能够很好地解决企业之间数据的分布性、平台的异构性等问题,所以在供应链管理中具有非常广阔的应用前景。     

受限功能信息家电的Jini启用

受限功能信息家电由于功能限制而不能自主加入Jini群体。本文主要探讨了在这类设备中如何启用Jirti技术。并提出了几种可行的方案。     

基于Jini的智能家电系统研究

Jini是一种真正基于服务的体系结构,它为动态的分布式计算需求提供了一种解决方案。本文提出了一种基于Jini的智能家电系统开发方案,利用Jini将设备和软件抽象为服务,很好地支持了智能家电的动态群体形成和解散。     

基于Jini的查找服务实现

在分布式系统中,为了给管理员和用户提供各种访问接口,利用Jini核心机制——查找服务,实现对服务的构造、查找、发现和使用。通过查找服务发现和确定服务,能起到连接系统和系统使用者的作用。凭借Jini的动态查找和发现机制可以实现复杂的网络计算环境中的查找服务。     

Jini技术浅析

Jini技术是网络互连技术中的杰出代表．就其产生背景、功能、特点、基本原理、体系结构及其应用前景进行了详细的介绍。以便全面认识Jini技术．     

Jini技术在现代远程教育系统中的应用

介绍了现代远程教育系统的背景、概念和现状，以及应用SUN公司的新分布式系统技术－Jini技术开发现代远程教育系统的设计思路，体系结构，实现方法和特点。     

一种基于Jini技术的移动Agent模型

移动Agent被普遍认为是一种有潜力的网络分布式计算技术,但至今仍没得到广泛的应用,主要是因为移动A-gent中尚存在一些主要问题,如环境灵活性、通信、代码迁移、安全等。针对这些问题,提出了一种基于Jini技术的移动Agent模型。通过将Jini中的查找、发现、租约、远程事件、对象存储等概念和服务加入到移动Agent中,创建了一个包含两种网络中间件(代理基站和代理站点)的动态分布式移动Agent模型,该模型提供了一种新的查找、通信、安全和容错方案以提高移动代理的健壮性、安全性和代理间的交互性。同时对该模型中关键技术的实现机制作了分析。     

A middleware‐transparent approach to developing distributed applications

An innovative middleware‐transparent approach to developing distributed applications is presented. The approach uses an aspect‐oriented software development technique to separate an application's middleware‐independent functionality from its middleware‐specific functionality. Application elements that are specific to the middleware are localized in aspects that can be seamlessly integrated into middleware‐independent application designs. The middleware‐transparent approach is used to decouple business functionality from middleware‐specific functionality. The decoupling allows developers to change middleware application elements without significantly modifying business functionality. Middleware technologies such as Java Remote Method Invocation (RMI), Jini, Simple Object Access Protocol (SOAP) remote procedure call (RPC) and .Net are used as examples to illustrate the approach. Copyright © 2005 John Wiley & Sons, Ltd.     

机器人自主感知模型在网络机器人中的应用

基于机器人自主感知模型(RAPM)构建了机器人系统，该系统可通过网络自主感知获得动态网络信息，实时建立路径，使机器人完成超出其视野范围的任务．机器人自主感知模型具有很强的扩展能力和合理的构架，突破了以往移动机器人仅使用自身传感器或使用网络固定传感器的局限，对提高基于Internet的机器人智能及其行为能力有重要意义．实验结果证明了机器人自主感知模型的可行性和有效性．     

Design, analysis, and implementation of an agent driven pull-based distributed video-on-demand system

The problem of employing multiple servers to serve a pool of clients on a network based multimedia service is addressed. We have designed and practically implemented a prototype system employing multiple servers to render a long duration movie to the customers. We have employed a multiple server retrieval strategy proposed in the literature [39] to realize this system. In the system, server coordination, client behavior and service facilities are completely controlled by an Agent based approach in which we have used the recent Jini technology. Several issues, ranging from data retrieval from individual server, behavior of the underlying network infrastructure, to client management and resource (client buffers) management, are considered in this implementation. We describe in detail our experiences in this complete design process of every module in the software architecture, its purpose, and working style. Further, the system is shown to be robust amidst unpredictable failures, i.e., in the event of server crashes. The load balancing capability is built-in as a safe guard measure to assure a continuous presentation. We present a comprehensive discussion on the software architecture to realize this working system and present our experiences. A system comprising a series of Pentium III PCs on a fast Ethernet network is built as a test-bed. Through this prototype, a wider scope of research challenges ahead are highlighted as possible extensions. Bharadwaj Veeravalli Member, IEEE & IEEE-CS, received his BSc in Physics, from Madurai-Kamaraj Uiversity, India in 1987, Master's in Electrical Communication Engineering from Indian Institute of Science, Bangalore, India in 1991 and PhD from Department of Aerospace Engineering, Indian Institute of Science, Bangalore, India in 1994. He did his post-doctoral research in the Department of Computer Science, Concordia University, Montreal, Canada, in 1996. He is currently with the Department of Electrical and Computer Engineering, Computer and Information Engineering (CIE) division, at The National University of Singapore, Singapore, as a tenured Associate Professor. His main stream research interests include, Multiprocessor systems, Cluster/Grid computing, Scheduling in parallel and distributed systems, Bioinformatics & Computational Biology, and Multimedia computing. He is one of the earliest researchers in the field of divisible load theory. He has published over 75 papers in high-quality International Journals and Conferences. He had secured several externally funded projects. He has co-authored three research monographs in the areas of Parallel and Distributed Systems, Distributed Databases, and Multimedia systems, in the years 1996, 2003, and 2005, respectively. He had guest edited a special issue on Cluster/Grid Computing for IJCA, USA journal in 2004. He has been recently invited to contribute to Multimedia Encyclopedia, Kluwer Academic Publishers, 2005. He is currently serving the Editorial Board of IEEE Transactions on Computers, IEEE Transactions on SMC-A and International Journal of Computers & Applications, USA, as an Associate Editor. He had served as a program committee member and as a session chair in several International Conferences. Long Chen received the B.E. degree in Electrical Engineering and M.E. degree in Electrical Engineering from the Northwestern Polytechnic University, P. R. China, in 1998 and 2001, respectively, and the M.E. degree in Computer Engineering from the National University of Singapore, Singapore, in 2004. He is currently a Ph.D. candidate at the Department of Electrical and Computer Engineering, the University of Delaware, United States. His research interests include multimedia systems, distributed system, network security, and computer architecture.