Mechanisms, Models, and Policies for Fast Data Sharing

快速数据共享的机制、模型和策略

• 批准号: RGPIN-2015-05528
• 负责人: Lu, Paul
• 金额: $ 1.31万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=658026
• 关键词: Mechanisms; Models; Policies; Fast; Data

Whether transferring a large digital movie file to your local Internet provider (e.g, Apple iTunes, Netflix, Google Play) or a large data file for a computational scientist (e.g., the Large Hadron Collider and the Higgs Boson), moving that large amount of data across the Internet requires the latest in protocols and technologies.  Behind the scenes, industry and scientists rely on improved networks and software to move gigabytes and terabytes of data in minutes or hours, instead of days or weeks.***My research centres on improving the networking, software, and related systems.  With my graduate and undergraduate students, we build new software prototypes that are faster and more reliable than the existing systems.  Working with partners like CANARIE (who runs Canada's research network), Cybera (who runs Alberta's research network), and Mover (an Edmonton start-up company in cloud data transfers), we build and evaluate new solutions to large data sharing and transfer problems.***In the future, if you hear about the next exciting particle physics discovery or if you are able to watch an Ultra HD movie downloaded from the Internet, my research might have played a role in making that possible.**

无论是将大型数字电影文件传输到本地互联网提供商（例如 Apple iTunes、Netflix、Google Play），还是为计算科学家传输大型数据文件（例如大型强子对撞机和希格斯玻色子），移动大量数据互联网上的数据需要最新的协议和技术。在幕后，行业和科学家依靠改进的网络和软件在几分钟或几小时内传输千兆字节和太字节的数据，而不是几天或几周。***我的研究专注于改进网络、软件和相关系统。​与我的研究生和本科生一起，我们与 CANARIE（运营加拿大研究网络）等合作伙伴合作构建了比现有系统更快、更可靠的新软件原型。 Cyber​​a（运营艾伯塔省的研究网络）和 Mover（埃德蒙顿的云数据传输初创公司），我们构建并评估针对大数据共享和传输问题的新解决方案。***将来，如果您听说下一个令人兴奋的粒子物理发现或者如果您能够观看从互联网下载的超高清电影，我的研究可能在实现这一点方面发挥了作用。**