ITR: Resource Predictors from Application Signatures in High Energy Physics

ITR：高能物理应用签名的资源预测

• 批准号: 0218987
• 负责人: John Huth
• 金额: $ 16.5万
• 依托单位: Harvard University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-01 至 2006-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0218987&HistoricalAwards=false
• 关键词: ITR; Resource; Predictors; Application; Signatures

This proposal requests support for investigators from Harvard and Northwestern Universities for an investigation of the creation and use of application signatures from the ATLAS high energy physics experiment, at the Large Hadron Collider (LHC) at CERN, Switzerland, as estimators for resource usage and adaptation for computing on a Grid. The experiment will be working with the largest data sets ever used in a physics experiment and will involve physicists distributed world wide. The access to these data and the analyses of them will require a grid network. Rather than just transfer the large data sets around the world, the scientists need to be able to regenerate the data by taking a limited signature of a specific data set, called an application signature, and invoke methods to cause a physical materialization.The group proposes to develop application signatures for jobs in the ATLAS experiment; to develop tools to estimate the execution times required to complete computing tasks based on a limited set of application signatures; to use this information to help schedule tasks on a set of grid resources; to find the most efficient way to solve a particular ATLAS analysis problem; and to evaluate their results in terms of generalization to other applications.

该提案要求支持调查人员从哈佛和西北大学的ATLAS高能物理实验，在大型强子对撞机（LHC）在欧洲核子研究中心，瑞士，作为估计资源的使用和适应计算网格上的应用程序签名的创建和使用的调查。该实验将使用物理实验中使用过的最大数据集，并将涉及分布在世界各地的物理学家。这些数据的获取和分析将需要一个网格网络。科学家们需要能够通过获取特定数据集的有限签名（称为应用签名）来重新生成数据，而不仅仅是在世界各地传输大型数据集，并调用方法来实现物理实体化。该小组建议为ATLAS实验中的作业开发应用签名;开发工具，根据有限的一组应用程序签名来估计完成计算任务所需的执行时间;使用这些信息来帮助在一组网格资源上调度任务;找到解决特定ATLAS分析问题的最有效方法;并根据对其他应用程序的推广来评估其结果。