Next generation computing and software for HEP

全球HEP社区正面临着令人生畏的计算和存储挑战。高亮度（HL）LHC和高强度B工厂等设施将提供前所未有的数据量。即使对计算技术的发展做出最乐观的预测，计算需求也将远远超过预计的资源。 社区已经清楚地认识到，HEP需要使其计算合理化，并利用行业中的发展。 其中两个关键领域是云计算和研究数据管理。 维多利亚大学的研究计算小组一直专注于未来HEP计算的解决方案。 多年来，我们一直致力于分布式数据管理、云计算和高速网络。 2016年，我们获得了加拿大七个CFI Cyberinfrastructure奖项之一的资助，用于分布式云计算和研究数据存储系统。 该小组正在为全球努力作出重要贡献。 我们有一个独特的云计算系统，为ATLAS和贝儿II提供重要的资源。 我们与CERN-IT和TRIUMF合作开发分布式数据管理系统。 该提案的目标是继续研究计算云和其他计算系统的数据管理新兴技术。 这些领域对于HL-LHC和贝儿II实验的成功至关重要。 这一提议将使我们的小组能够为这一关键而又新颖的研究领域做出进一步的贡献。 该项目是高素质人才的绝佳培训场所;该集团已培训了60多名学生和工作人员。此外，我们的工作得到了业界的极大关注;在过去几年中，我们得到了亚马逊、谷歌、微软和其他公司的支持。

The global HEP community is facing daunting computing and storage challenges. Facilities such as the high luminosity (HL) LHC and the high-intensity B-factory will provide unprecedented amounts of data. Even with the most optimistic predictions for the evolution of the computing technology, the computing requirements will far exceed the projected resources. It has become clear to the community that HEP needs to rationalize it's computing, and take advantage of the developments occurring in the industry. Two of the key areas are cloud computing and the management of research data. The research computing group at the University of Victoria has been focused on solutions for future HEP computing. We have been working on distributed data management, cloud computing, and high-speed networks for many years. In 2016, we were funded with one of seven CFI Cyberinfrastructure awards in Canada to a distributed cloud computing and research data storage system. The group is making important contributions to the global effort. We have a unique cloud computing system that is providing significant resources to both ATLAS and Belle II. We collaborate with CERN-IT and TRIUMF on distributed data management system. The goal of this proposal is to continue our research into emerging technologies for data management for compute clouds and other computing systems. These areas are critical to the success of the HL-LHC and the Belle II experiments. This proposal will enable our group to make further contributions to this critical, yet novel area of research. The project is an excellent training area for highly qualified personnel; the group has trained over 60 students and staff. Further, our work has received significant attention from industry; we have received support from Amazon, Google, Microsoft and other companies over the past few years.