Computing hardware for big data editing, storage, and analysis

用于大数据编辑、存储和分析的计算硬件

• 批准号: RTI-2016-00547
• 负责人: Schenkel, Flavio
• 金额: $ 10.86万
• 依托单位: University of Guelph
• 依托单位国家: 加拿大
• 项目类别: Research Tools and Instruments
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=591484
• 关键词: Computing; hardware; big; data; editing

The big data era of research has caused an avalanche of data that has buried the current computer storage and processing technology in the Department of Animal Biosciences (formerly Department of Animal and Poultry Science) at University of Guelph. The ever-increasing processing of data has outstripped the current ability to analyze data properly, efficiently, and in a timely manner. This grant will support the purchase of three high performance computer nodes, a storage server and a fabric network to integrate the new nodes and storage server to the computer nodes and storage currently available in the Department for interdisciplinary and collaborative research involving big data, a common feature of novel research in precision agriculture. The Department of Animal Biosciences has a vibrant and productive group of 27 faculty and about 110 graduate students and 20 postdocs, who conduct research in nutrition, behaviour, physiology, meat science, genetics, and genomics. Over the last ten years the direction of research in the department and around the world has moved towards precision agriculture related technologies, such as the different omics (e.g. genomics, proteomics, metabolomics), real time recording and monitoring, etc., which yield big amounts of data to be processed, stored and analyzed. The proposed equipment to face these computational demands is a central high performance file storage system with at least 150TB for researcher home directories with several high performance nodes, large memory, many core systems connected to the storage via 10GB/s switches. These features combined will allow for running 5 times as many jobs simultaneously as currently done and it is anticipated that each job will be 5-10 times faster. High speed connectivity to the Internet will also allow big data exchanges with collaborating researchers in other institutions, as well as own research stations (Alma, Arkell, and Elora). Access to a faster and more powerful computing hardware will improve the quality and productivity of research involving big data in the Department of Animal Biosciences, which will be essential for the Department to maintain and increase its leadership in providing agri-based solutions to national and international issues while enhancing profitability and competitiveness of farmers, the agri-food systems, and Canadian industry.

大数据时代的研究造成的数据雪崩埋葬了圭尔夫大学动物生物科学系（原动物与家禽科学系）当前的计算机存储和处理技术。不断增加的数据处理已经超出了当前正确、高效、及时地分析数据的能力。这笔赠款将支持购买三个高性能计算机节点、一个存储服务器和一个结构网络，以将新节点和存储服务器集成到该系现有的计算机节点和存储中，以进行涉及大数据的跨学科和协作研究，这是精准农业新颖研究的共同特征。动物生物科学系拥有一支充满活力、富有成效的团队，由 27 名教职员工、约 110 名研究生和 20 名博士后组成，他们从事营养、行为、生理学、肉类科学、遗传学和基因组学方面的研究。在过去的十年中，该部门和世界各地的研究方向已转向精准农业相关技术，例如不同的组学（例如基因组学、蛋白质组学、代谢组学）、实时记录和监测等，这些技术产生大量数据需要处理、存储和分析。满足这些计算需求的拟议设备是一个中央高性能文件存储系统，至少 150TB 用于研究人员主目录，具有多个高性能节点、大内存、通过 10GB/s 交换机连接到存储的许多核心系统。这些功能相结合将允许同时运行的作业数量是目前的 5 倍，并且预计每个作业的速度将提高 5-10 倍。与互联网的高速连接还允许与其他机构以及自己的研究站（Alma、Arkell 和 Elora）的合作研究人员进行大数据交换。使用更快、更强大的计算硬件将提高动物生物科学系涉及大数据的研究质量和生产力，这对于该系保持和增强其在为国家和国际问题提供基于农业的解决方案方面的领导地位，同时提高农民、农业食品系统和加拿大工业的盈利能力和竞争力至关重要。