EAGER: Multi-Domain, Workflow Driven Computation System for Microbial Ecology Research and Analysis

EAGER：用于微生物生态学研究和分析的多领域、工作流驱动的计算系统

• 批准号: 1250265
• 负责人: Mark Ellisman
• 金额: $ 30万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-01 至 2014-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1250265&HistoricalAwards=false
• 关键词: EAGER; Multi; Domain; Workflow; Driven

This EAGER award to the University of California - San Diego, explores innovations to The Community Cyberinfrastructure for Advanced Microbial Ecology Research and Analysis, (CAMERA, http://camera.calit2.net/). CAMERA is a widely used infrastructure that provides a single software system for depositing, locating, analyzing, visualization and sharing data about microbial biology. A heavily utilized and core component of CAMERA is the workflow driven computational system for data analysis. The award anticipates analysis needed for next generation sequence (NGS) data. BLASTx Work flows using CAMERA's Refseq Protein database) will require nearly 2.5 Million core hours to complete analysis of a typical NGS data set, making it impractical and costly to rely on a single computational resource for an entire workflow. The PI will prototype novel heuristic-based dynamic resource scheduling approaches to allowing distribution of workflow tasks among heterogeneous computing domains such as local systems, a variety of commercial clouds, and multiple national resources.This research explores development of a multi-domain scheduling system where the individual component tasks of a workflow are not bound to a single computational resource or domain, but rather can be scheduled across multiple resources as well as across institutional domains. It benefits a rapidly growing segment of the scientific community in both large and modest laboratories whose instruments now generate massive amounts of genomic data at modest expense but who have insufficient access to resources needed for processing or analyzing these data. The cyberinfrastructure to be established will potentially be usable by other science communities facing similar computational challenges.

这项渴望授予加州大学圣地亚哥分校的奖项，探讨了社区网络基础设施的创新，用于高级微生物生态研究与分析（Camera，http：//camera.calit2.net/）。 摄像机是一种广泛使用的基础架构，它提供了一个用于沉积，定位，分析，可视化和共享有关微生物生物学的数据的软件系统。 相机的大量利用和核心组件是工作流驱动的数据分析的计算系统。 该奖项预期下一代序列（NGS）数据所需的分析。 使用Camera的RefSeq蛋白数据库的BLASTX工作流）将需要将近250万个核心小时来完成对典型NGS数据集的分析，这使得依靠单个计算资源以在整个工作流程中依靠单个计算资源是不切实际且昂贵的。 PI将原型新型基于启发式的动态资源调度方法，以允许在异质计算领域（例如本地系统，各种商业云和多个国家资源）之间进行工作流程任务分配。这项研究探讨了多层调度系统的开发，而工作流的各个组件任务却可以跨越单个计算机，而是跨越单一的计算范围，而是范围内的，而是及时跨越单个计算的范围，而是相当及时跨越了一个计算机，而是相当多地跨越了一定的计算。 它使大型和适中的实验室中的科学界快速增长的一部分受益，他们的工具现在以适度的费用产生了大量的基因组数据，但他们无法访问处理或分析这些数据所需的资源。 面临类似计算挑战的其他科学社区将有可能建立的网络基础设施可以使用。