Scientific Workflow Management in Energy Frontier Physics

能源前沿物理中的科学工作流程管理

• 批准号: 0654198
• 负责人: Peter Wittich
• 金额: $ 14.94万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-06-15 至 2009-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0654198&HistoricalAwards=false
• 关键词: Scientific; Workflow; Management; Energy; Frontier

Experiments at the Large Hadron Collider (LHC) in the CERN Laboratory will produce data of volume and complexity far exceeding that from previous high energy physics (HEP) experiments. A world-wide GRID of computing resources are currently being assembled to meet the computational challenge. To realize the discovery potential of the LHC data, physicists in large collaborations must have efficient and widely-distributed access to the data subsets that they need. Workflow is the operational aspect of a work procedure: how jobs are structured, who performs them, what is their ordering, how they are synchronized, how information flows to support the tasks, and task tracking. The field of scientific workflow management is an active area of research and development in the computer sciences (CS) The immediate application of the software discussed here will be the Compact Muon Solenoid (CMS) experiment at the LHC. But by addressing the workflow requirements of CMS analysis, the group will confront problems with broad applicability in data intensive science in a complex distributed computational environment.The proposal includes participation in two extensive programs of outreach to local K-12 schools, including in-school programs for students and out-of-school workshops for teachers, educators, and high school students, and the local public, as well as programs for undergraduates.

在欧洲核子研究中心实验室的大型强子对撞机（LHC）上进行的实验将产生远远超过以前高能物理（HEP）实验的数据。目前正在建立一个全球计算资源全球资源数据库，以应对计算方面的挑战。为了实现大型强子对撞机数据的发现潜力，大型合作的物理学家必须能够有效和广泛地访问他们需要的数据子集。工作流是工作过程的操作方面：作业如何结构化，谁执行它们，它们的顺序是什么，它们如何同步，信息如何流动以支持任务，以及任务跟踪。科学工作流管理领域是计算机科学（CS）研究和开发的一个活跃领域。这里讨论的软件的直接应用将是LHC的紧凑μ子螺线管（CMS）实验。 但通过解决CMS分析的工作流程要求，该小组将面临在复杂的分布式计算环境中的数据密集型科学中具有广泛适用性的问题。该提案包括参与两个广泛的推广计划，以当地K-12学校，包括学生的校内计划和教师，教育工作者，高中生和当地公众的校外研讨会，以及本科生项目。