ITR: Resource Predictors from Application Signatures in High Energy Physics

这项提案要求支持哈佛大学和西北大学的研究人员调查在瑞士欧洲核子研究中心的大型强子对撞机(LHC)上创建和使用ATLAS高能物理实验的应用签名，作为网格计算的资源使用和适应的估计器。该实验将使用有史以来在物理实验中使用的最大数据集，并将涉及分布在世界各地的物理学家。访问这些数据并对其进行分析将需要一个网格网络。不只是在世界各地传输大型数据集，科学家们需要能够通过对特定数据集进行有限的签名(称为应用程序签名)来重新生成数据，并调用导致物理物化的方法。该小组建议为ATLAS实验中的作业开发应用程序签名；开发工具来基于有限的应用程序签名集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泛化来评估它们的结果。

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.