Data Workload Generator for Research on Big Data and Network Science

用于大数据和网络科学研究的数据工作负载生成器

• 批准号: 472897-2015
• 负责人: Li, Zongpeng
• 金额: $ 10.93万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Research Tools and Instruments - Category 1 (<$150,000)
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=564875
• 关键词: Data; Workload; Generator; Research; Big

Big data and network science is a strategic research direction that has been gaining worldwide momentum since the rather recent past, with many research groups from academia and industry racing to claim territory and glean results in this fertile virgin land. The proposed data workload generating hardware and software are together critical for empirical evaluations of solution algorithms invented in the area of big data and network science, bridging the gap between theory and practice, helping make sure that curiosity-driven research is also strongly relevant to industry and potential customers. Successful theories and algorithms from research on big data and network science are expected to make revolutionary changes to a number of sectors in Canada, including ICT, finance, medical services, manufacturing, education, and natural resources, by increasing their operation efficiency and cutting cost through both (a) faster and more robust information sharing and (b) more accurate and informed decision making based on information from big data that is otherwise not available.

大数据和网络科学是近年来在全球范围内蓬勃发展的战略研究方向，来自学术界和工业界的许多研究团体竞相在这片沃土上争夺领地并收集成果。所提出的数据工作负载生成硬件和软件对于大数据和网络科学领域发明的解决方案算法的实证评估至关重要，弥合理论与实践之间的差距，有助于确保好奇心驱动的研究也与行业和潜在客户密切相关。大数据和网络科学研究的成功理论和算法预计将为加拿大的许多行业带来革命性的变化，包括信息通信技术、金融、医疗服务、制造、教育和自然资源，通过(a)更快、更强大的信息共享和(b)基于大数据中无法获得的信息做出更准确和明智的决策来提高运营效率并降低成本。