DQP:网格上的一种分布式查询处理器

网格计算是近年来兴起的一个研究热点,它旨在使互联网上所有资源(计算资源、存储资源、通信资源、软件资源、信息资源、知识资源等)实现全面共享与协同工作,使整个因特网整合成一台巨大的超级计算机,为用户提供“即连即用”式的服务。文中介绍了网格计算的概念、特点,以及开放网格服务体系结构(OGSA),详细介绍了OGSA-DQP的功能、架构、实现方法以及执行流程。     

DQP:网格上的一种分布式查询处理器

网格计算是近年来兴起的一个研究热点，它旨在使互联网上所有资源（计算资源、存储资源、通信资源、软件资源、信息资源、知识资源等）实现全面共享与协同工作，使整个因特网整合成一台巨大的超级计算机，为用户提供“即连即用”式的服务。文中介绍了网格计算的概念、特点，以及开放网格服务体系结构（OGSA），详细介绍了OGSA—DQP的功能、架构、实现方法以及执行流程。     

语义网格核心技术及其应用研究

网格是近年来兴起的一个研究热点。它旨在使互联网上所有资源(计算资源、存储资源、通信资源、软件资源、信息资源、知识资源等)实现全面共享与协同工作,使整个因特网整合成一台巨大的超级计算机,为用户提供"即连即用"式的服务。语义网格结合了网格,语义网和Web服务的优点。本文介绍了网格和语义网格的概念,讨论了语义网格的框架,分析了语义网格的核心技术;介绍了语义网格的应用,并对语义网格发展面临的困难及其未来的前景进行了分析探讨。     

语义网格核心技术及其应用研究

网格是近年来兴起的一个研究热点。它旨在使互联网上所有资源(计算资源、存储资源、通信资源、软件资源、信息资源、知识资源等)实现全面共享与协同工作,使整个因特网整合成一台巨大的超级计算机,为用户提供"即连即用"式的服务。语义网格结合了网格,语义网和Web服务的优点。通过讨论语义网格的框架,分析了语义网格的核心技术;研究了语义网格的应用,并对语义网格发展面临的困难及其未来的前景进行了分析探讨。     

网格技术与信息资源存储和共享

“网格“是一个新出现的概念,代表了一种先进的技术和基础设施,是继Internet之后又一次重大的科技进步.网格旨在使互联网上所有资源(计算资源、存储资源、通信资源、软件资源、信息资源、知识资源等)实现全面共享与协同工作,使整个因特网整合成一台巨大的超级计算机,为用户提供“即连即用“式的服务.介绍了网格的内涵、特点及两种主要的网格体系结构,对网格环境下信息资源的存储和共享进行了论述.     

云计算与网格计算的比较研究

网格计算是一种能够整合零散资源并实现资源共享和协同工作的计算模式;云计算是网格计算、并行计算、分布式计算的发展,是一种新兴的商业计算模式。它具有与网格计算不同的新的特点。该文在研究网格计算与云计算概念的基础上从体系结构、专注方向、资源管理、作业调度等多种角度对网格计算与云计算进行了分析和研究。云计算所采用的商业理念、成熟的资源虚拟化技术以及非标准化的规范,使其体系结构、资源管理、作业调度等方面呈现出了不同的特点,也更适宜于为用户提供按需服务的目标,但在安全方面仍需不断完善。     

网格资源模型综述

网格计算将广域网上的各种计算资源、信息资源、设备资源等集成起来,以统一的方式向用户提供服务,是当前网络计算领域的研究热点.其中资源模型是关系到广域分布式环境中资源共享和协同工作效率的关键.本文介绍了网格中的资源模型的主要研究内容,以及国内外相关领域的研究现状.     

基于网格服务的电子商务应用研究

针对目前电子商务系统中存在的资源瓶颈问题,结合网格技术的应用背景,提出基于的网格的电子商务系统的应用模型。本文对其产生的原因、该系统的特点,该系统的应用平台、工作流程进行了详细的阐述。目的是实现网格虚拟环境下电子商务管理系统的高性能资源共享和协同工作,消除信息孤岛和资源孤岛,实现管理资源、计算资源、存储资源、数据资源、信息资源、软件资源、网络资源、通信资源、知识资源、专家资源等资源的全面共享,提高工作效率。     

基于网格服务的电子商务应用研究

针对目前电子商务系统中存在的资源瓶颈问题，结合网格技术的应用背景，提出基于的网格的电子商务系统的应用模型。本文对其产生的原因、该系统的特点，该系统的应用平台、工作流程进行了详细的阐述。目的是实现网格虚拟环境下电子商务管理系统的高性能资源共享和协同工作，消除信息孤岛和资源孤岛，实现管理资源、计算资源、存储资源、数据资源、信息资源、软件资源、网络资源、通信资源、知识资源、专家资源等资源的全面共享，提高工作效率。     

能引起人类社会发生重大变革的网格技术

网格技术(Grid Technology)已成为人们目前谈论的热门话题,因为该技术已关系到人类社会的重大变革。 网格:是从科学研究中借鉴电力网提出的一种新概念,是把整个因特网整合成一台巨大的超级计算机,使用户能在任何地方实现对所有网络资源:如计算资源、存储、通信资源、软件资源、信息资源、知识资源等全面共享。所以网格的核心目标就是对资源的共享、使用及协同工作。     

国家地质调查应用网格体系及关键技术研究

地质调查工作中数据密集、计算密集、资源分布、异构等问题制约了行业应用和信息化发展，网格(grid)是新一代高性能计算环境和信息服务基础设施，能够实现动态跨地域的资源共享和协同工作，国家地质调查应用网格(NGG)基于网格技术，以“服务”为中心，提出并构建了从信息获取、处理到应用的完整的7层体系结构，同时结合行业应用需求，着重研究资源管理、资源交易、服务等关键技术，在Petri网和图论的基础上提出了一种新的服务链模型(服务／资源网)，实现地质调查领域的资源共享和信息服务。     

基于网格的煤矿安全应用网格体系研究

煤矿安全应用工作中数据信息分布、计算资源闲置、异构以及计算功能单一严重制约着行业应用和信息化的发展。网格（grid）是新一代高性能计算环境和信息服务基础设施,能够实现动态跨地域的资源共享和协同工作。该文基于新兴的网格技术,参照OGSA体系,提出并构建了从信息获取、处理到应用的完整的煤矿安全应用网格（CMSAG）体系结构。同时结合行业应用需求,着重研究了其资源表示、资源管理、存储访问以及数据缓存等关键技术,最后通过具体应用示例的工作流程论证了该网格体系的应用模式。     

仿真网格体系结构及关键技术的研究与实现

网格是一个集成的资源与计算环境，是当前信息领域的研究热点。基于网格技术构建协同建模/仿真环境以及仿真网格，能在更大程度上支持各种仿真软硬件资源的共享，成为复杂系统建模与仿真的重要技术与工具。该文基于网格和Web技术构建层次化的仿真网格原型系统体系结构，对原型系统各个层次中涉及的仿真网格支撑平台技术、仿真网格仿真资源网格化技术、仿真网格服务管理技术以及仿真网格应用门户技术及其实现途径进行了研究与实现。     

DartGrid II: a semantic grid platform for ITS

Intelligent transportation systems offer an alternative approach to solving many problems by implementing advances in information, Internet, communication, and cybernetics technologies. Grid computing can support traffic data semantization, resource sharing, ITS subsystem cooperation, and global-scale distributed computing that connects all kinds of resources. We are currently using grid technology to build DartGrid II, a semantic ITS platform to support resource sharing, service flow management, and cross-domain cooperation.     

Editorial: Internetware of the Age

While the infrastructure of computing shifting from isolated computers to Internet-linked resources, the software industry transfers its focus from computing products to dependable services. That''s one of the reasons why pervasive computing, grid computing, service computing and cloud computing are introduced on the open and dynamic Internet-linked platform. The communication abilities it introduced enable various resources exchanging and sharing freely, and participating in the community in the social network. There are three layers in such a platform: computing infrastructure, software services and information web. The underline layer, computing infrastructure, provides computing and communication facilities, and the surface layer, information web, is full of information recombination and consuming. The layer of software services serves as a factory to process constantly emerging and heterogeneous dynamic information using distributed, autonomous, and evolvable computing facilities. Therefore, services provided by such software systems should be adaptive, situational, trustworthy, autonomous and etc. To achieve flexible objectives, these services can be coordinated in various styles such as integration, cooperation, orchestration and etc. A portmanteau term \Internetware" is used     

网格信息服务的一致性研究及应用

随着开放网格服务体系结构OGSA的出现，计算网格的研究已开始向服务网格过渡，由于应用的多样性和复杂性，服务网格的研究面临着空前的挑战，当前网格信息服务系统基本上都是对计算资源、数据资源和网络资源等的管理、注册发布及资源发现，但这种方式需要做进一步的改进来适应服务网格的需要．除中国科学院计算技术研究所的VEGA之外，HowU网格平台是另一较成熟的服务网格平台．分析了HowU信息服务器的服务组织和管理机制，并重点针对信息一致性问题进行了研究，即如何保证网格范围内服务的存在性以及组织域范围内服务信息的有效性．最后给出模拟性能分析．     

Fault-tolerant grid architecture and practice

Grid computing emerges as effective technologies to couple geographically dis-tributed resources and solve large-scale computational problems in wide area networks. The fault tolerance is a significant and complex issue in grid computing systems. Various techniques have been investigated to detect and correct faults in distributed computing systems. Unreliable fault detection is one of the most effective techniques. Globus as a grid middleware manages resources in a wide area network. The Globns fault detection service uses the well-known techniques basedon unreliable fault detectors to detect and report component failures. However, more powerful techniques are required to detect and correct both system-level and application-level faults in agrid system, and a convenient toolkit is also needed to maintain the consistency in the grid. Afault-tolerant grid platform (FTGP) based on an unreliable fault detector and the Globus faultdetection service is presented in this paper. The platform offers effective strategies in such threeaspects as grid key components, user tasks, and high-level applications.     

Using Markets to Engineer Resource Management for the Information Grid

Information systems are continually expanding as evidenced by the doubling of Internet connections every year. Similar growth is exhibited by information systems in defense. The Air Force's goals to achieve global awareness, dynamic planning/execution, and global information exchange involve the technologies to provide information to the warrior anywhere, anytime, and for any mission. This far-reaching enterprise will necessarily span multiple networks and computing domains of both the commercial and military varieties. As a result, many users with different goals and priorities vie for the communication and computing resources of the information grid. Managing this vast system to assure dependable operation that maintains users' quality of service levels has led researchers to propose economic models to solve the resource management problem. Information technology has begun to fundamentally alter the way business is conducted, and there is synergy between e-commerce and the management of the underlying information resources on which it runs.This paper examines the envisioned market-based, large-scale information systems for defense. Due to their criticality, these systems must also manage resources to provide survivability in the presence of information attacks. This potential for technology transfer from the defense sector to the commercial sector are described. Conversely, the leveraging of research performed in the non-military realm of e-commerce to reach the Air Force's goals will also be explored.     

Recent Advances in Mobile Grid and Cloud Computing

Grid and cloud computing systems have been extensively used to solve large and complex problems in science and engineering fields. These systems include powerful computing resources that are connected through high-speed networks. Due to the recent advances in mobile computing and networking technologies, it has become feasible to integrate various mobile devices, such as robots, aerial vehicles, sensors, and smart phones, with grid and cloud computing systems. This integration enables the design and development of the next generation of applications by sharing of resources in mobile environments and introduces several challenges due to a dynamic and unpredictable network. This paper discusses applications, research challenges involved in the design and development of mobile grid and cloud computing systems, and recent advances in the field.