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，高性能计算社区已经开始转向分布式系统以满足其性能需求。将并行计算中的并发管理技术与可扩展和自适应的分布式系统设计相结合的研究，产生了一种新的软件体系结构，称为“计算网格”。它的主要原则是用户程序应该能够从分布式资源池中获取计算“能量”，就像电器从电力公司获取电力一样：无处不在，无缝和可靠。本项目将探讨一种新的方法来构建软件系统，实现“ComputationalGrid”模型的计算和如何培养新的课程方向的基础上，这项工作的车辆，两个研究的推力将结合在形式的EveryWare和G-商务，以定义一个新的编程方法的网格。EveryWare是一个软件工具包，用于构建健壮、高性能的分布式应用程序，这些应用程序可以使用现有的计算网格中间件作为构建块。EveryWare程序被构造为一组应用程序可定制的服务，这些服务使用EveryWare工具包作为自适应服务器框架，同时利用现有网格系统提供的功能。G-commerce是一个计算经济系统，允许应用程序从计算供应商购买资源。G-commerce的一个关键特征是它是一个宏观经济系统，可以证明实现经济平衡和市场稳定。通过结合这两种方法，我们将定义一种新的强大的网格应用程序编程方法。为此，我们将：·扩展和实施EveryWare软件工具包，·研究和开发经济公式，以形成基于全球电子商务的资源分配战略的基础，·开发用于实施资源经济的计算交换，·开发用于经验性全球电子商务资源调度研究的基础设施，.在“live”中使用非平凡的网格应用程序验证我们的结果网格设置。本项目的研究方法是分析性和实验性的。它将探讨确保资源分配稳定和均衡的问题。理论上和模拟上。然后使用计算交换实现了有希望的经济公式，并使用网格应用程序的EveryWare实现来测试它们的有效性。同时，EveryWare将得到增强，使应用程序开发人员和制造商在做出资源分配决策时能够考虑计算价格，EveryWare和G-commerce也将成为未来发展的新方向的基础。课程顺序将结合分布式计算技术，负荷条件的统计分析，和经济建模方法，从文献与实际实施使用计算网格。由此产生的多学科课程将允许学生比较和联合收割机不同的策略很容易地进行定量评估的目的，这将是每个序列的主要重点。实践也将被组织，其中来自不同大学的学生将被邀请参加。每个实习将集中在使用不同的计算网格基础设施的一个选定的应用程序的实现。学生将比较不同的技术，并使用EveryWare工具包和G-commerce来组合那些最有效的联合收割机。