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Proceedings of the ... IEEE/ACM International Conference on Grid Computing. IEEE/ACM International Conference on Grid Computing最新文献

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Cyberinfrastructure in New York State 纽约州的网络基础设施
Russ Miller, Jonathan J. Bednasz, K. Chiu, S. Gallo, M. Govindaraju, M. Lewis, C. Ruby, C. Weeks
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引用次数: 0
Enabling Grids for e-Science: The EGEE Project 为电子科学启用网格:EGEE项目
E. Laure, Bob Jones
Enabling Grids for E-sciencE represents the world's largest multi-disciplinary Grid infrastructure today. Co-funded by the European Commission, it brings together more than 250 resource centres from 48 countries to produce a reliable and scalable computing resource available to the European and global research community. This article provides an overview of EGEE, its infrastructure, middleware, applications and support structures. This article is intended to provide a first source of information for similar efforts elsewhere and based on EGEE's experiences a sustainable model for Grid operations will be discussed.
为E-sciencE启用网格代表了当今世界上最大的多学科网格基础设施。它由欧洲委员会共同资助,汇集了来自48个国家的250多个资源中心,为欧洲和全球研究界提供可靠和可扩展的计算资源。本文概述了EGEE及其基础设施、中间件、应用程序和支持结构。本文旨在为其他地方的类似工作提供第一个信息来源,并将根据EGEE的经验讨论网格操作的可持续模型。
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引用次数: 16
QoS-Constrained Stochastic Workflow Scheduling in Enterprise and Scientific Grids 企业和科学网格中qos约束的随机工作流调度
Ali Afzal, J. Darlington, A. McGough
Grid computing infrastructures are inherently dynamic and unpredictable environments shared by many users. Grid schedulers aim to make efficient use of Grid resources while providing the best possible performance to the Grid applications and satisfying the associated performance and policy constraints. Additionally, in commercial Grid settings, where the Grid resource brokering becomes an increasingly important part of Grid scheduling, it is necessary to minimise the cost of application execution on the behalf of the Grid users, while ensuring that the applications meet their QoS constraints. Efficient resource allocation could in turn also allow the resource broker to maximise it's profit by minimising the number of resources procured. Scheduling in such a large-scale, dynamic and distributed environment is a complex undertaking. In this paper, we propose an approach to Grid scheduling which abstracts over the details of individual applications, focusing instead on the global cost optimisation problem and the scheduling of the entire Grid workload. Our model places particular emphasis on the stochastic and unpredictable nature of the Grid, leading to a more accurate reflection of the state of the Grid and hence more efficient and accurate scheduling decisions.
网格计算基础设施本质上是由许多用户共享的动态和不可预测的环境。网格调度器的目标是有效地利用网格资源,同时为网格应用程序提供尽可能好的性能,并满足相关的性能和策略约束。此外,在商业网格设置中,网格资源代理成为网格调度中越来越重要的一部分,因此有必要将代表网格用户的应用程序执行成本最小化,同时确保应用程序满足其QoS约束。有效的资源分配反过来也允许资源经纪人通过最小化获取的资源数量来最大化其利润。在这样一个大规模、动态和分布式的环境中调度是一项复杂的任务。在本文中,我们提出了一种网格调度方法,该方法抽象了单个应用程序的细节,转而关注全局成本优化问题和整个网格工作负载的调度。我们的模型特别强调网格的随机性和不可预测性,从而更准确地反映网格的状态,从而更有效、更准确地做出调度决策。
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引用次数: 30
Resource Discovery Techniques in Distributed Desktop Grid Environments 分布式桌面网格环境中的资源发现技术
Jik-Soo Kim, Beomseok Nam, P. Keleher, Michael A. Marsh, Bobby Bhattacharjee, A. Sussman
Desktop grids use opportunistic sharing to exploit large collections of personal computers and workstations across the Internet, achieving tremendous computing power at low cost. Traditional desktop grid systems are typically based on a client-server architecture, which has inherent shortcomings with respect to robustness, reliability and scalability. In this paper, we propose a decentralized, robust, highly available, and scalable infrastructure to match incoming jobs to available resources. Through a comparative analysis on the experimental results obtained via simulation of three different types of matchmaking algorithms under different workload scenarios, we show the trade-offs between effcient matchmaking and good load balancing in a fully decentralized, heterogeneous computational environment.
桌面网格利用机会共享来利用互联网上的大量个人计算机和工作站,以低成本获得巨大的计算能力。传统的桌面网格系统通常基于客户机-服务器体系结构,这种体系结构在健壮性、可靠性和可伸缩性方面存在固有的缺点。在本文中,我们提出了一种分散的、健壮的、高可用性和可扩展的基础设施,以将传入的工作与可用资源相匹配。通过对比分析三种不同类型的匹配算法在不同工作负载场景下的模拟实验结果,我们展示了在完全分散的异构计算环境下,高效匹配和良好负载平衡之间的权衡。
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引用次数: 38
Grid Programming with Java, RMI, and Skeletons 使用Java、RMI和skeleton进行网格编程
S. Gorlatch, M. Alt
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引用次数: 1
A Review of Grid Portal Technology 网格门户技术综述
Maozhen Li, M. Baker
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引用次数: 10
A Grid Software Process 网格软件流程
G. Aloisio, M. Cafaro, I. Epicoco
{"title":"A Grid Software Process","authors":"G. Aloisio, M. Cafaro, I. Epicoco","doi":"10.1007/1-84628-339-6_4","DOIUrl":"https://doi.org/10.1007/1-84628-339-6_4","url":null,"abstract":"","PeriodicalId":88963,"journal":{"name":"Proceedings of the ... IEEE/ACM International Conference on Grid Computing. IEEE/ACM International Conference on Grid Computing","volume":"115 1","pages":"75-98"},"PeriodicalIF":0.0,"publicationDate":"2006-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76000389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Solving Computationally Intensive Engineering Problems on the Grid Using Problem Solving Environments 使用问题解决环境在网格上解决计算密集型工程问题
C. Goodyer, M. Berzins
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引用次数: 6
Intelligent Grids 智能电网
Xin Bai, Han Yu, Guoqiang Wang, Yongchang Ji, G. Marinescu, D. Marinescu, Ladislau Bölöni
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引用次数: 4
Virtualization in Grids: A Semantical Approach 网格中的虚拟化:一种语义方法
Z. Németh, V. Sunderam
{"title":"Virtualization in Grids: A Semantical Approach","authors":"Z. Németh, V. Sunderam","doi":"10.1007/1-84628-339-6_1","DOIUrl":"https://doi.org/10.1007/1-84628-339-6_1","url":null,"abstract":"","PeriodicalId":88963,"journal":{"name":"Proceedings of the ... IEEE/ACM International Conference on Grid Computing. IEEE/ACM International Conference on Grid Computing","volume":"84 1","pages":"1-18"},"PeriodicalIF":0.0,"publicationDate":"2006-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83258385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
期刊
Proceedings of the ... IEEE/ACM International Conference on Grid Computing. IEEE/ACM International Conference on Grid Computing
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