网格体系结构详解

1.引言在“网格:面向虚拟组织的资源共享技术”一文中,我们对网格的研究领域及基本理念作了介绍,并介绍了网格体系结构的设计思想和体系结构框架。本文我们具体描述由Globus项目提出的网格体系结构——一种类似于Internet协议体系结构的层次式协议体系结构,并映射到Internet协议体系结构上。我们主要介绍构成网格体系结构的基本系统组件,详细规定/说明这些组件的目的与功能,并指出这些组件如何与别的组件交互。     

基于Agent的网格资源管理系统的研究与设计

网格资源管理是网格计算中的重要组成部分和研究难点。本文分析了网格资源管理系统的体系结构模型，提出了基于代理的方法来管理网格资源系统，设计了基于Agent的网格资源管理系统的体系结构和工作流程，并应用该方法分析了资源请求过程的实例。同时，为了适应网格系统的可扩展性，我们应用多代理技术解决了代理之间的相互协作的问题。文中所提出的资源管理方案可为网格资源管理提供一种有效的方法和途径。     

不同应用领域的网格体系结构研究

网格的体系结构是网格技术的核心,是网格的骨架和灵魂。选择设计适当的网格体系结构对网格系统的实现至关重要,因为只有设计出合适种类的网格体系结构,才能在网格环境中高效方便地运行应用程序。随着相关技术和网格应用的发展,网格体系结构将更加成熟和完善,这将直接推动网格的发展,对其研究产生深远的影响。文中主要分析比较了五种不同类型的网格体系结构,并列出最近研究成果。     

不同应用领域的网格体系结构研究

网格的体系结构是网格技术的核心，是网格的骨架和灵魂。选择设计适当的网格体系结构对网格系统的实现至关重要，因为只有设计出合适种类的网格体系结构，才能在网格环境中高效方便地运行应用程序。随着相关技术和网格应用的发展，网格体系结构将更加成熟和完善，这将直接推动网格的发展，对其研究产生深远的影响。文中主要分析比较了五种不同类型的网格体系结构，并列出最近研究成果。     

网格体系结构及其发展研究

网格体系结构是网格最核心的技术。该文重点介绍了五层沙漏结构和开放网格服务结构(OGSA),并简单介绍了“清华ACI系统结构”、织女星网格体系结构、Legion系统结构和GIS网格体系结构,最后对网格体系结构作了展望。     

网格系统基础及其应用展望

网格是新型的分布计算和协同工作环境。文中首先介绍网格系统概念、特点和功能,阐述了网格系统的体系结构,包括：资源层、中间件层、界面层和应用层。接着讨论了网格系统的关键技术,重点分析了“五层沙漏结构”、网格操作系统的基本功能和安全认证技术。最后讨论了网格的应用领域,指出网格必将成为新一代网络计算模式。     

校园网格环境构建的关键技术研究

网格计算是新型分布式计算技术。网格是一个集成的计算与资源环境,它能够充分吸纳各种计算资源并将它们转化成一种方便可靠的计算能力。文中论述了网格计算的特点和体系结构及其与传统分布式计算的区别,进而分析了校园网格环境构建的关键技术。校园网格环境的构建是网格普及化必经的关键一步。在校园网格系统构建中除了文中提到的关键技术之外还有诸多问题如安全机制、资源管理、任务管理、通信技术等都有待于进一步研究和具体化。     

校园网格环境构建的关键技术研究

网格计算是新型分布式计算技术。网格是一个集成的计算与资源环境，它能够充分吸纳各种计算资源并将它们转化成一种方便可靠的计算能力。文中论述了网格计算的特点和体系结构及其与传统分布式计算的区别，进而分析了校园网格环境构建的关键技术。校园网格环境的构建是网格普及化必经的关键一步。在校园网格系统构建中除了文中提到的关键技术之外还有诸多问题如安全机制、资源管理、任务管理、通信技术等都有待于进一步研究和具体化。     

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。     

网格技术及其研究动向

网格技术是一门新兴技术,本文详细阐述了网格的概念、特点及五层沙漏体系结构和开放网格服务体系结构。介绍了国内外网格技术的发展情况,指出网格技术研究面临的问题及发展前景。     

网格：面向虚拟组织的资源共享技术

1.引言在过去的几年里,“网格”(Grid)一词主要在学术界使用。如今,它已从幕后走到了前台,在IT界引起人们的普遍关注。术语网格源于学术界的学派描述共享联网的所有资源(从PC到超级计算机),以共同地解决超级计算任务。一般认为,有关网格的实质性研究始于1995年。当时美国Argonne国家实验室的Ian Foster博士和南加洲大学信息科学研究所的Carl Kesselman博士共同领导了美国政府(能源部、NASA等)支持的高性能分布式计算项目Globus。在此项目中,为了标     

GMarte: Grid middleware to abstract remote task execution

Grid computing technologies are now being largely deployed with the widespread adoption of the Globus Toolkit as the industrial standard Grid middleware. However, its inherent steep learning curve discourages the use of these technologies for non‐experts. Therefore, to increase the use of Grid computing, it is important to have high‐level tools that simplify the process of remote task execution. In this paper we introduce a middleware, developed on top of the Java Commodity Grid, which offers an object‐oriented, user‐friendly application programming interface, from the Java language, which eases remote task execution for computationally intensive applications. Copyright © 2006 John Wiley & Sons, Ltd.     

Grid Data Management: Open Problems and New Issues

Initially developed for the scientific community, Grid computing is now gaining much interest in important areas such as enterprise information systems. This makes data management critical since the techniques must scale up while addressing the autonomy, dynamicity and heterogeneity of the data sources. In this paper, we discuss the main open problems and new issues related to Grid data management. We first recall the main principles behind data management in distributed systems and the basic techniques. Then we make precise the requirements for Grid data management. Finally, we introduce the main techniques needed to address these requirements. This implies revisiting distributed database techniques in major ways, in particular, using P2P techniques. Work partially funded by ARA “Massive Data” of the French ministry of research (project Respire), the European Strep Grid4All project, the CAPES–COFECUB Daad project and the CNPq–INRIA Gridata project.     

Chirp: a practical global filesystem for cluster and Grid computing

Traditional distributed filesystem technologies designed for local and campus area networks do not adapt well to wide area Grid computing environments. To address this problem, we have designed the Chirp distributed filesystem, which is designed from the ground up to meet the needs of Grid computing. Chirp is easily deployed without special privileges, provides strong and flexible security mechanisms, tunable consistency semantics, and clustering to increase capacity and throughput. We demonstrate that many of these features also provide order-of-magnitude performance increases over wide area networks. We describe three applications in bioinformatics, biometrics, and gamma ray physics that each employ Chirp to attack large scale data intensive problems.     

Analysis and Provision of QoS for Distributed Grid Applications

Grid computing provides the infrastructure necessary to access and use distributed resources as part of virtual organizations. When used in this way, Grid computing makes it possible for users to participate in collaborative and distributed applications such as tele-immersion, visualization, and computational simulation. Some of these applications operate in a collaborative mode, requiring data to be stored and delivered in a timely manner. This class of applications must adhere to stringent real-time constraints and Quality-of-Service (QoS) requirements. A QoS management approach is therefore required to orchestrate and guarantee the timely interaction between such applications and services. We discuss the design and a prototype implementation of a QoS system, and demonstrate how we enable Grid applications to become QoS compliant. We validate this approach through a case study of an image processing task derived from a nanoscale structures application.     

Grid Computing in China

Grid computing presents a new trend to distributed computation and Internet applications, which can construct a virtual single image of heterogeneous resources, provide uniform application interface and integrate widespread computational resources into super, ubiquitous and transparent aggregation. In the adoption of Grid computing, China, who is facing more resource heterogeneity and other specific demands, has put much effort on both research and practical utilization. In this paper, we introduce the major China Grid research projects and their perspective applications. First we give the overview of the four government-sponsored programs in Grid, namely the China National Grid, ChinaGrid, NSFC Grid, and ShanghaiGrid. Then we present six representative ongoing Grid systems in details, which are categorized into Grid middleware and Grid application. This paper provides the general picture of Grid computing in China, and shows the great efforts, devotion and confidence in China to use Grid technology to boost the society, economics and scientific research.     

An ant algorithm for balanced job scheduling in grids

Grid computing utilizes the distributed heterogeneous resources in order to support complicated computing problems. Grid can be classified into two types: computing grid and data grid. Job scheduling in computing grid is a very important problem. To utilize grids efficiently, we need a good job scheduling algorithm to assign jobs to resources in grids.In the natural environment, the ants have a tremendous ability to team up to find an optimal path to food resources. An ant algorithm simulates the behavior of ants. In this paper, we propose a Balanced Ant Colony Optimization (BACO) algorithm for job scheduling in the Grid environment. The main contributions of our work are to balance the entire system load while trying to minimize the makespan of a given set of jobs. Compared with the other job scheduling algorithms, BACO can outperform them according to the experimental results.     

网格实例与关键技术分析

Grid computing technology is developing in an impressing speed these years. This paper is going to do some detailed analysis on two of the major Grid projects, Globus and Legion, in order to find out the key technologies of Grid computing. In this paper, three key technologies will be discussed: Grid Architecture, Grid Data and Resource Services, and Grid Security Services. Different implementation of these technologies will be discussed and compared with each other, some new ideas about these technologies will be proposed as well.     

基于Web服务的分布式仿真资源重用

实现全球资源共享是以网格为代表的新一代信息技术的主要目标,然而现有的分布式仿真资源远没有实现全球范围的共享,原因是缺乏对仿真资源统一的组织和管理,资源的可重用性不强,而利用网格和Web服务有望解决该问题.该文分析了Web服务、网格计算和高层体系结构HLA三者之间的潜在联系,设计了网格环境下以Web服务为中心的分布式仿真资源框架,在该框架中所有仿真资源都封装为Web服务.最后重点研究了HLA仿真系统中的联邦资源重用问题,对仿真服务的描述和仿真联邦的组合进行了深入的探讨和具体的设计,论证了方案的可行性.     

网格的数据挖掘*

网格是网络计算、分布式计算和高性能计算技术研究的热点。随着科学计算领域中的数据剧烈增长以及未来网格计算环境下广域分布的海量数据共享成为现实,数据挖掘技术将在挖掘有效的信息、发现新的知识和规律发挥着重要的作用。结合网格的特点,概述了网格数据挖掘的特点和关键技术,重点讨论了网格数据挖掘的体系结构和基本过程,最后给出了基于OGSA的网格数据挖掘的例子。