CAREER: Effective Grid Programming with EveryWare and G-commerce

职业：使用 EveryWare 和 G-commerce 进行有效的网格编程

• 批准号: 0093166
• 负责人: Richard Wolski
• 金额: $ 34.42万
• 依托单位: University of Tennessee Knoxville
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-01-15 至 2001-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0093166&HistoricalAwards=false
• 关键词: CAREER; Effective; Grid; Programming; EveryWare

As network performance has increased, the high-performance computing community has begun toturn to distributed systems to meet their performance needs. Research that combines the concurrencymanagement techniques from parallel computing with scalable and adaptive distributed systems design has resulted in a new software architecture known as the "Computational Grid". Its main tenet is that user programs should be able to draw computational "power" from a distributed resource pool the wayelectrical appliances draw electricity from a power utility: ubiquitously, seamlessly and reliably. Thisproject will investigate a novel approach to building software systems that implement the" ComputationalGrid" model of computing and how to foster new curricular directions based on this investigation.As vehicles for this proposed work, two research thrusts will be combined in the form of EveryWare and G-commerce to define a new programming methodology for the Grid. EveryWare is a software toolkit for building robust, high-performance distributed applications that can use existing Computational Gridmiddleware as building blocks. An EveryWare program is structured as a set of application customizableservices that use the EveryWare toolkit as an adaptive server framewirk while leveraging the functionalityprovided by existing Grid systems. G-commerce is a computational economic system that allows applications to purchase resources from computational suppliers. A key feature of G-commerce is that it is a macro-economic system which provably achieves economic equilibrium and market stability. By combining these two we will define a new and powerful approach to programming Grid applications.To do so we will:.extend and implement the EveryWare software toolkit,.study and develop economic formulations that will form the basis of G-commercebased resource allocation strategies,.develop a computational exchange for implementing resource economies aninfrastructure for empirical G-commerce resource scheduling studies and,.verify our results using non-trivial Grid applications in "live" Grid settings.The research approach of this project is both analytical and experimental.It will approach the problem of ensuring resource allocation stability andequilibrium theoretically and using simulation. Then implement promisingeconomic formulations using the computational exchange, and test theirvalidity with EveryWare implimentations of Grid applications. At the sametime, EveryWare will be enhanced so that it enables the aplication programmersand schedulers to consider computational price when making resource allocationdecisions.EveryWare and G-commerce will also serve as the basis for new directions incurriculum development. A course sequence will be designed that combinesdistributed computing techniques, statistical analysis of load conditions, andeconomic modeling methods from the literature with practical implementationusing Computational Grids. The resulting multi-disciplinary course will allowstudents to compare and combine different strategies easily for the purpose ofmaking quantitative evaluations, which will be a primary focus of each sequence.Practica will also be organized in which students from different Universitieswill be invited to participate. Each practicum will focus on the implementationof a chosen application using different Computational Grid infrastructures.Students will compare different techniques and use the EveryWare toolkit andG-commerce to combine those that are the most effective.

随着网络性能的提高，高性能计算社区已开始托特恩（Toturn）到分布式系统以满足其性能需求。从并行计算与可扩展和自适应分布式系统设计结合了并发性管理技术的研究导致了一种新的软件体系结构，称为“计算网格”。它的主要宗旨是，用户程序应该能够从分布式资源库中绘制计算“功率”。Wayelectrical设备从功率实用程序中吸收电力：无处不在，无缝和可靠。 ThisProject将研究一种新的方法来构建软件系统，该方法实现了“计算格里德”计算模型，以及如何基于此调查来培养新的课程方向。作为这项拟议工作的车辆，将以每种软件的形式组合两个研究推力，并将G-Commerce的形式组合起来，以定义网格的新编程方法。每个软件都是用于构建可使用现有计算Gridmiddleware的稳健高性能分布式应用程序的软件工具包。每个软件程序都是作为一组应用程序customizableservices构造的，该应用程序将每个软件工具包用作自适应服务器框架线，同时利用现有网格系统来证实的功能。 G-Commerce是一种计算经济系统，允许应用程序从计算供应商那里购买资源。 G-Commerce的一个关键特征是它是一个宏观经济系统，可证明可以达到经济平衡和市场稳定。通过结合这两个，我们将定义一种新的有力的编程网格应用方法。为此，我们将进行：扩展和实施每个软件软件工具包，研究和开发经济表述，这些表述将构成基于G-Commerce的基础资源分配策略的基础。在“实时”网格设置中。该项目的研究方法既是分析性的又是实验性。它将解决确保理论上和使用模拟的资源分配稳定性和平衡的问题。然后使用计算交换实施有希望的经济公式，并通过网格应用程序的所有软件强度来测试其活动。在Sametime上，所有软件都将得到增强，以便使Aplication程序员和调度程序在制作资源分配定义时考虑计算价格。每个软件和G-Commerce也将作为新方向开发的基础。将设计一个课程序列，以结合了分布的计算技术，负载条件的统计分析，以及文献中的经济建模方法以及实用的计算网格。由此产生的多学科课程将允许学生轻松地比较和结合不同的策略，以进行定量评估，这将是每个序列的主要重点。每个实践将专注于使用不同的计算网格基础架构实施选择的应用程序。学生将比较不同的技术，并使用每个软件工具包和Git-Commerce结合最有效的技术。