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: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=613604
• 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您当地的互联网提供商(例如Apple iTunes、Netflix、Google Play)，还是针对计算科学家的大型数据文件(例如大型强子对撞机和希格斯玻色子)，在互联网上传输大量数据都需要最新的协议和技术。在幕后，工业界和科学家依靠改进的网络和软件，在几分钟或几小时内移动千兆字节和兆兆字节的数据，而不是几天或几周。 我的研究重点是改善网络、软件和相关系统。与我的研究生和本科生一起，我们构建了比现有系统更快、更可靠的新软件原型。通过与CANARIE(加拿大研究网络的运营者)、Cybera(艾伯塔省研究网络的运营者)和Mover(埃德蒙顿的一家云数据传输初创公司)等合作伙伴合作，我们构建和评估解决大型数据共享和传输问题的新解决方案。 在未来，如果你听说下一个激动人心的粒子物理发现，或者如果你能够观看从互联网上下载的超高清电影，我的研究可能会在这方面发挥作用。