无缝运输信息网格的体系结构研究

由于无缝运输中各种运输方式信息的相对分散独立,使用网格可以将这些分布式的异构信息组织起来,实现资源共享和信息集成。提出了一个无缝运输信息网格（STIG）的体系结构,该体系集成了信息集成、语义查询、运输规划等关键技术。以铁海多式联运为例,说明了无缝运输网格体系下的多式联运流程。     

A generic information extraction architecture for financial applications

The advent of computing has exacerbated the problem of overwhelming information. To manage the deluge of information, information extraction systems can be used to automatically extract relevant information from free-form text for update to databases or for report generation. One of the major challenges to the information extraction is the representation of domain knowledge in the task, that is how to represent the meaning of the input text, the knowledge of the field of application, and the knowledge about the target information to be extracted. We have chosen a directed graph structure, a domain ontology and a frame representation, respectively. We have further developed a generic information extraction (GIE) architecture that combines these knowledge structures for the task of processing. The GIE system is able to extract information from free-form text, further infer and derive new information. It analyzes the input text into a graph structure and subsequently unifies the graph and the ontology for extraction of relevant information, driven by the frame structure during a template filling process. The GIE system has been adopted for use in the message formatting expert system, a large-scale information extraction system for a specific financial application within a major bank in Singapore.     

移动环境下Flask框架的改进

在移动环境下,节点之间在进行通信时要进行策略的动态协调,而作为典型的动态安全系统框架Flask,只能用于静态环境中.在研究了Flask框架体系结构的基础上,对其进行改进,使其适合于动态的移动环境.通过在Flask框架结构中加入翻译器组件,并在网络环境中引入协调器(可信第三方)组件,在协调器中将安全策略分为提供策略和授权策略分别进行协调,解决了在移动环境下移动节点间进行通信时的策略动态协调问题.     

An architecture to support scalable distributed virtual environment systems on grid

A Distributed Virtual Environment (DVE) system offers a computer-generated virtual world in which individuals located at different places in the physical world can interact with one another. In order to achieve real-time response for a large user base, DVE systems need to have a scalable architecture. In this paper, we present the design of a grid-enabled service oriented framework for facilitating the construction of scalable DVE systems on computing grids. A service component called “gamelet” is proposed, whose distinctive mark is its high mobility for supporting dynamic load sharing. We propose a gamelet migration protocol which can ensure the transparency and efficiency of gamelet migration, and an adaptive gamelet load-balancing (AGLB) algorithm for making gamelet redistribution decisions at runtime. The algorithm considers both the synchronization costs of the DVE system and network latencies inherent in the grid nodes. The activities of the users and the heterogeneity of grid resources are also considered in order to carry out load sharing more effectively. We evaluate the performance of the proposed mechanisms through a multiplayer online game prototype implemented using the Globus toolkit. The results show that our approach can achieve faster response times and higher throughputs than some existing approaches. This research is supported in part by the China National Grid project (863 program) and the HKU Foundation Seed Grant 28506002.     

基于SOA的三维信息网格体系结构研究*

在总结现有网格体系结构的基础上,针对所存在的问题,从网格资源使用和功能管理、面向用户操作以及网格系统自身特性等角度分析设计了相应的架构layer、tier和vertical,并且全面考虑这三种架构思想的各个作用因素,提出了基于SOA的三维信息网格体系结构(3DIGA)原型,并对其中一些关键技术和问题进行了研究,提出了一些诸如网格服务代理器、资源集成池、服务工厂等重要的概念.最后将该三维信息网格体系结构应用到海洋信息网格集成系统的软件框架上.     

Data resource discovery model based on hybrid architecture in data grid environment

Today, the management of massive data collections draws much attention as data grids have been developed to deal with large computational problems and provide the opportunity for sharing geographically distributed resources for large‒scale data‒intensive applications. Therefore, finding an effective approach to discover data resources in order to promote better interactions between application communities or virtual organizations becomes a critical challenge. Traditional grid resource discovery models are mostly based on central and hierarchical architecture that can lead to bottlenecking with the expansion of the grid scale. Although the Peer‒to‒Peer (P2P) technique is integrated into the grid in order to improve the performance in recent years, each P2P structure still has drawbacks that require several compensatory strategies. In this paper, based on the unstructured super‒node‒based architecture from the P2P system, we design a structured logic resource tree in each domain in order to effectively alleviate the load on the super‒node, and we propose a query recording learning algorithm based on this hybrid architecture to reduce traffic in the network and greatly shorten the response time. The model and algorithm are validated by simulations and compared with the traditional super‒peer model and the flooding‒based approach. Copyright © 2014 John Wiley & Sons, Ltd.     

科学计算网格环境信息服务扩展研究

为了更好地支持科学计算网格中资源共享的需求,在分析现有网格信息服务技术局限的基础上,根据科学计算程序资源的特点,提出了"服务组-物理服务"、"顾问服务"的思路来解决存在的问题.作为对现有信息服务技术的扩展增强,设计了一个三层服务信息组织架构和资源服务信息中心方案.试验结果表明,该设计方案可行,管理开销在合理范围内,较好地满足了构建科学计算网格环境的需要.     

基于网格技术的电子政务体系结构

电子政务中当前的信息交换技术无法实现完全意义上的信息互通,不同系统之间存在概念的差异、安全的鸿沟和一致的工作流程等问题.结合电子政务的需求和网格技术,提出了一个基于网格技术的电子政务体系结构.在此基础上,进一步就电子政务中的安全策略、本体和工作流等几个方面进行了研究,设计了适合于电子政务的模型.     

电网企业移动现场作业信息平台的研究与实践

电网运营管理对保障电力供应和服务十分重要,电网运营要求较高的效率和可靠性。文章介绍了电网企业移动现场作业信息平台,阐述了其建设目标和技术架构,提出整体解决方案,规范了现场作业流程,实现作业现场与后台信息的实时传递,提高作业效率。该平台可以提升电网管理水平,具有广泛的应用和推广价值。     

A layered Virtual Organization architecture for grid

Virtual Organizations (VOs) are dynamic collections of individuals, institutions, and resources. VOs are widely accepted in grid and other distributed computing environments. Previous VO research produces several separate tools to provide part of the functionality including user registration, user mapping, authentication, authorization, and VO management. However, none of the work covers all the functionality or focuses on non-functional properties. This paper formally defines virtual organization in terms of three functional requirements and four non-functional properties. The functional requirements are user management, resource management, and VO management. The non-functional properties are decentralization, flexibility, simplicity, and efficiency. The problem is formulated as designing a VO architecture to satisfy the functional requirements and achieve the non-functional properties at the same time.     

Knowledge base grid: A generic grid architecture for semantic web

The emergence of semantic web will result in an enormous amount of knowledge base resources on the web. In this paper, a generic Knowledge Base Grid Architecture (KB-Grid) for building large-scale knowledge systems on the semantic web is presented. KB-Grid suggests a paradigm that emphasizes how to organize, discover, utilize, and manage web knowledge base resources. Four principal components are under development: a semantic browser for retrieving and browsing semantically enriched information, a knowledge server acting as the web container for knowledge, an ontology server for managing web ontologies, and a knowledge base directory server acting as the registry and catalog of KBs. Also a referential model of knowledge service and the mechanisms required for semantic communication within KB-Grid are defined. To verify the design rationale underlying the KB-Grid, an implementation of Traditional Chinese Medicine (TCM) is described.     

Adaptive group scheduling mechanism using mobile agents in peer-to-peer grid computing environment

Peer-to-peer grid computing is an attractive computing paradigm for high throughput applications. However, both volatility due to the autonomy of volunteers (i.e., resource providers) and the heterogeneous properties of volunteers are challenging problems in the scheduling procedure. Therefore, it is necessary to develop a scheduling mechanism that adapts to a dynamic peer-to-peer grid computing environment. In this paper, we propose a Mobile Agent based Adaptive Group Scheduling Mechanism (MAAGSM). The MAAGSM classifies and constructs volunteer groups to perform a scheduling mechanism according to the properties of volunteers such as volunteer autonomy failures, volunteer availability, and volunteering service time. In addition, the MAAGSM exploits a mobile agent technology to adaptively conduct various scheduling, fault tolerance, and replication algorithms suitable for each volunteer group. Furthermore, we demonstrate that the MAAGSM improves performance by evaluating the scheduling mechanism in Korea@Home. SungJin Choi is a Ph.D. student in the Department of Computer Science and Engineering at Korea University. His research interests include mobile agent, peer-to-peer computing, grid computing, and distributed systems. Mr. Choi received a M.S. in computer science from Korea University. He is a student member of the IEEE. MaengSoon Baik is a senior research member at the SAMSUNG SDS Research & Develop Center. His research interests include mobile agent, grid computing, server virtualization, storage virtualization, and utility computing. Dr. Baik received a Ph.D. in computer science from Korea University. JoonMin Gil is a professor in the Department of Computer Science Education at Catholic University of Daegu, Korea. His recent research interests include grid computing, distributed and parallel computing, Internet computing, P2P networks, and wireless networks. Dr. Gil received his Ph.D. in computer science from Korea University. He is a member of the IEEE and the IEICE. SoonYoung Jung is a professor in the Department of Computer Science Education at Korea University. His research interests include grid computing, web-based education systems, database systems, knowledge management systems, and mobile computing. Dr. Jung received his Ph.D. in computer science from Korea University. ChongSun Hwang is a professor in the Department of Computer Science and Engineering at Korea University. His research interests include distributed systems, distributed algorithms, and mobile computing. Dr. Hwang received a Ph.D. in statistics and computer science from the University of Georgia.     

A comprehensive agent-based architecture for intelligent information retrieval in a distributed heterogeneous environment

The Internet has become the global infrastructure supporting information acquisition and retrieval from many heterogeneous data sources containing high-speed text and rich multimedia images, audio, and video. AgentRAIDER is an ongoing research project at Texas Tech University designed to develop a comprehensive architecture for an intelligent information retrieval system with distributed heterogeneous data sources. The system is designed to support intelligent retrieval and integration of information from the Internet. Current systems of this nature focus only on specific aspects of the distributed heterogeneous problem such as database queries or information filtering. Consequently, these concepts and others have never been successfully integrated into a unified, cohesive architecture. This paper discusses the design and implementation of the AgentRAIDER system and identifies areas for applications of the system in various domains.     

网格计算及网格体系结构研究综述

网格计算是继Internet和Web技术之后，信息技术的第3次革命，最终将改变分布式资源的共享和服务方式。对网格计算进行了简单介绍，重点介绍网格系统构建的核心技术，即网格体系结构的研究及最新进展情况。且着重介绍了以协议为中心的5层沙漏结构和以服务为中心的新一代网格体系结构OGSA。     

面向服务的网格体系架构*

Web服务和网格计算技术,出现了日益融合的趋势。网格研究人员在Web服务规范基础上进行了创造性的补充和改进,提出了适合网格需要的网格服务规范。网格服务规范的代表就是WSRF,它较好地解决了如何在一个成熟的无状态的Web服务框架内以一种标准的方式实现有状态资源的问题。     

网格图像法提取多维脉搏特征信息

利用前期研制的基于单CCD(charge coupled device,电子耦合器件)的脉搏多维信息测量装置,采集得到脉搏动态时变图像序列.重新设计传感器触头为绘有网格点的软性双层薄膜结构,在此基础上,建立了测量原理模型,论证了该装置获取脉搏多维信息的可行性.随后,通过对网格点图像的处理,成功提取了脉搏波的形态、频率、节律及脉宽信息,所得结果与测量模型分析一致.研究表明,该系统能够有效提取多维脉搏特征信息,为脉搏信息的检测和表征提供了一种全新的手段和方法.     

移动网格发展研究

论述了移动网格的基本概念和研究背景,综述了移动网格的体系结构、资源管理、任务调度、中间件、安全与容错等关键技术,尤其是资源的巨大数量和间歇连接特性为移动网格的实现带来最大挑战.详细地介绍了移动网格的国内外研究现状,对各种关键技术的研究成果进行了深入分析.最后对移动网格的发展进行了归纳,提出移动网格研究对象的扩展,即通过有线方式连接的普通节点如PC机也应容纳到移动网格中,并基于覆盖网的思想提出分布式体系结构.     

A mobile agent-based routing model for grid computing

Grid computing is an innovative approach which can optimize compute resources and manage data and computing workloads. In this paper, we propose a hierarchical routing model by using mobile agents to collect and update the dynamic changes of routing information in grid systems, which has been proved to be the only optimal solution that makes inference on the known traffic information and approximates to a unbiased distribution. Our method is fault tolerant, scalable, and relies completely on local information. Extensive simulations show the priority of our algorithm to state-of-art algorithms.     

Dynamic path planning for a mobile automaton with limited information on the environment

The problem of path planning is studied for the case of a mobile robot moving in an environment filled with obstacles whose shape and positions are not known. Under the accepted model, the automaton knows its own and the target coordinates, and has a "sensory" feedback which provides it with local information on its immediate surroundings. Ibis information is shown to be sufficient to guarantee reaching a global objective (the target), while generating reasonable (if not optimal) paths. A lower bound on the length of paths generated by any algorithm operating with uncertainty is formulated, and two nonheuristic path planning algorithms are described. In the algorithms, motion planning is done continuously (dynamically), based on the automaton's current position and on its feedback. The effect of additional sources of information (e.g., from a vision sensor) on the outlined approach is discussed.