ITR: Resource Predictors from Application Signatures in High Energy Physics

本提案要求支持哈佛大学和西北大学的研究人员对在瑞士CERN的大型强子对撞机（LHC）上进行的ATLAS高能物理实验的应用签名的创建和使用进行调查，作为资源使用和网格计算适应的估计。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。对这些数据的访问和分析将需要一个网格网络。科学家们不只是将大型数据集传输到世界各地，而是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），并调用方法来实现物理物化，从而重新生成数据。该小组建议为ATLAS实验中的工作开发应用签名；开发工具，根据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；使用此信息来帮助调度一组网格资源上的任务；寻找解决特定ATLAS分析问题的最有效方法；并从推广到其他应用的角度来评估它们的结果。

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.