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网格被誉为下一代的Internet,其技术进展情况令人瞩目。不仅惠普、IBM、Sun等厂商都在自己的软硬件上积极支持网格标准,类似于Oracle这样的软件厂商更推出了基于网格理念的下一代数据库产品Oralce10g。不过,全球最大的网格技术论坛并不在国外,而是在中国。“今年在武汉举办的中国网格论坛,将会有500多人参加,并且有例如GGF(全球网格论坛)主席以及网格之父等业内的全球技术权威做主题报告。”集群与网格计算湖北省重点实验室主任、中国教育科研网格计划ChinaGrid专家组组长金海博士说,“ChinaGrid是教育部从2002年的8月份开始讨论,并且… 相似文献
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《计算机系统应用》2006,15(12):91-91
中全球运算能力最强的刀片服务器进入中国国家网格抢先应用基于9核CELL处理器的BladeCenter QS20 (2006年10月23日北京讯)近日,中国科学院计算机网络信息中心和IBM (NYSE:IBM)在中国科学院网络中心签署协议,双方宣布将在中国国家网格(CNGrid)上提供基于Cell宽带引擎(Cell BE)的刀片服务器计算节点。中国科学院计算机网络信息中心李俊主任,中国国家网格运行支持中心学术委员会副主任徐志伟教授,委员会委员杨广文教授,以及IBM中国开发中心总经理郑妙女士和中心主任John Turek博士出席了此次签约仪式。 相似文献
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《CAD/CAM与制造业信息化》2012,(8):3
在近日召开的联合记者会上,美国国家航空航天局(NASA)火星探测计划项目主管Doug McCuistion与西门子股份公司工业业务领域首席执行官鲁思沃博士(Siegfried Russwurm)共同探讨了即将到来的太空探索新时代以及NASA工程师和西门子软件技术在实现未来太空探索中发挥的重要作用。 相似文献
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以服务为中心的网格体系结构OGSA 总被引:25,自引:2,他引:25
1 网格与网格体系结构网格(Grid)概念产生于20世纪90年代中期,是从电力网(Power Grid)概念借鉴过来的。网格的最终目的是希望大家能够像使用电力一样方便地使用分布在网络上强大而丰富的计算能力。网格计算(Grid Computing)就是基于网格的问题求解,它是在1995年的Ⅰ-WAY项目中提出来的。网格是目前越来越重要的研究领域,被称为是下一代的Internet,网格是一种关系科研、经济、社会、国防的重要国家基础设施,在国内外都引起了广泛的关注。网格的发展经历 相似文献
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《艺术与设计.数码设计》2020,(7)
正"字体游乐场"(Transtype Playground)是非白工作室历时三年的自主项目。灵感来源于卡斯滕·尼古拉(Carsten Nicolai)的"Grid Index"(网格索引),这是一套基于算法形成的图形网格,可供无限开发的几何形态,以及不同比例的组合。从 相似文献
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关于网格及其它分布计算技术的若干问题的讨论 总被引:5,自引:0,他引:5
1.引言在“网格:面向虚拟组织的资源共享技术”一文中,我们主要给出了由Ian Foster等定义的网格及相关基本概念和研究领域,讨论了网格的基本理念和关键技术。在“网格体系结构详解”一文中,详述了Globus项目提出的网格体系结构的构成及功能。这些内容旨在说明网格是什么。实际上,我们也可以从另一方面,或不同的角度来观察和认识网格。比 相似文献
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Jim Spohrer Laura C. Anderson Norman J. Pass Tryg Ager Daniel Gruhl 《Journal of Grid Computing》2008,6(3):313-324
This paper is a first exploration of the relationship between service science and Grid computing. Service science is the study
of value co-creation interactions among entities, known as service systems. Within the emerging service science community,
service is often defined as the application of competences (resources) for the benefit of another. Grid computing is the study
of resource sharing among entities, known as virtual organizations, which solve complex business, societal, scientific, and
engineering problems. Within the Grid computing community, service is sometimes defined as protocols plus behavior. Both Grid
computing and service science are connecting academic, industry, government, and volunteer sector collaborators on a range
of projects including eScience, healthcare, environmental sustainability, and more. This paper compares and contrasts the
notions of resource, entity, service, interaction, and success criteria for the two areas of study. In conclusion, new areas
for collaborative inquiry are proposed. 相似文献
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Grid computing environments are set up mainly to encourage the shared use of different resources based on business/scientific needs. The way these resources are shared in terms of CPU cycles, storage capacity, software licenses etc., is normally dictated by the availability of these resources outside the local administration context. The Semantic Grid is the extension of Grid computing with Semantic Web-based technologies. The Semantic Grid represents grid management data in a machine-understandable format, and reasoning can handle complicated situations in virtual organization management. This paper presents the extension of the collaborative awareness model (CAM) to manage virtual organizations in Semantic Grid environments. CAM applies some theoretical principles of awareness models to promote resource interaction and management, as well as task delivery. 相似文献
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网格计算的研究新进展 总被引:21,自引:0,他引:21
孙培德 《计算机工程与应用》2003,39(16):65-69,72
网格计算诞生了一个全新的领域,它以大规模的资源协作共享、创新的应用以及高性能计算的特点,区别于传统的分布式计算。文章简述了网格计算的定义、特点、功能和基本体系结构,重点综述了网格的研究新进展及其商业化应用前景,分析了当前网格研究的发展趋势及其我国的对策。 相似文献
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Dirk Neumann Jochen Stößer Christof Weinhardt Jens Nimis 《Journal of Grid Computing》2008,6(3):325-347
This paper argues that the technology of Grid computing has not yet been adopted in commercial settings due to the lack of
viable business models. While in academia Grid technology has already been taken up, the sharing approach among non for-profit
organizations is not suitable for enterprises. In this paper, the idea of a Grid market is taken up to overcome this Grid
adoption gap. We propose a framework for building up a Grid market and identifies the associated economic and technical challenges.
Based on this framework, we identify a catalogue of possible market mechanisms which offer a promising fit to the Grid environment’s
characteristics and which may thus help to carry the idea of Grid markets from theory to practice. 相似文献
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Analysis and Provision of QoS for Distributed Grid Applications 总被引:5,自引:0,他引:5
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. 相似文献
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Distribution of data and computation allows for solving larger problems and executing applications that are distributed in nature. The grid is a distributed computing infrastructure that enables coordinated resource sharing within dynamic organizations consisting of individuals, institutions, and resources. The grid extends the distributed and parallel computing paradigms allowing for resource negotiation and dynamical allocation, heterogeneity, open protocols, and services. Grid environments can be used both for compute-intensive tasks and data intensive applications by exploiting their resources, services, and data access mechanisms. Data mining algorithms and knowledge discovery processes are both compute and data intensive, therefore the grid can offer a computing and data management infrastructure for supporting decentralized and parallel data analysis. This paper discusses how grid computing can be used to support distributed data mining. Research activities in grid-based data mining and some challenges in this area are presented along with some promising future directions for developing grid-based distributed data mining. 相似文献
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Grid computing, in which a network of computers is integrated to create a very fast virtual computer, is becoming ever more
prevalent. Examples include the TeraGrid and Planet-lab.org, as well as applications on the existing Internet that take advantage
of unused computing and storage capacity of idle desktop machines, such as Kazaa, SETI@home, Climateprediction.net, and Einstein@home.
Grid computing permits a network of computers to act as a very fast virtual computer. With many alternative computers available,
each with varying extra capacity, and each of which may connect or disconnect from the grid at any time, it may make sense
to send the same task to more than one computer. The application can then use the output of whichever computer finishes the
task first. Thus, the important issue of the dynamic assignment of tasks to individual computers is complicated in grid computing
by the option of assigning multiple copies of the same task to different computers.
We show that under fairly mild and often reasonable conditions, maximizing task replication stochastically maximizes the number
of task completions by any time. That is, it is better to do the same task on as many computers as possible, rather than assigning
different tasks to individual computers. We show maximal task replication is optimal when tasks have identical size and processing
times have a NWU (New Worse than Used; defined later) distribution. Computers may be heterogeneous and their speeds may vary
randomly, as is the case in grid computing environments. We also show that maximal task replication, along with a c
μ rule, stochastically maximizes the successful task completion process when task processing times are exponential and depend
on both the task and computer, and tasks have different probabilities of completing successfully. 相似文献
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网格计算主要关注大规模的资源共享,且这种共享是高度可控的。为解决网格环境下文件资源共享与管理的问题,提出了一个网格文件资源共享模型FsvGrid。该模型引入注册通知机制,并采用确定性算法与非确定性算法相结合的消息传递机制,使得网格中的各个节点之间能够高效协作;采用分层结构,屏蔽了文件资源的多样性;增加了共享的安全性,可以对共享进行控制;提出了一种依靠虚拟组织来对文件资源进行管理的方式,解决分布式资源难以管理的问题。 相似文献