EAGER: CloudJoin: Migrating CISE Computing Research Infrastructure to the Cloud

EAGER：CloudJoin：将 CISE 计算研究基础设施迁移到云端

• 批准号: 1923692
• 负责人: John Brassil
• 金额: $ 29.2万
• 依托单位: Princeton University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1923692&HistoricalAwards=false
• 关键词: EAGER; CloudJoin; Migrating; CISE; Computing

Advances in large-scale data center computing and networking has accelerated innovation across computer science during the past decade. Large-scale, data-intensive systems experimentation is increasingly important to accelerating science, as is developing a workforce capable of solving big data problems on the large cloud-based application platforms that are increasingly central to the US economy. To stay relevant in an age of at-scale computer systems research, the systems research community has pressed operators of Computing Research Infrastructures (CRI) such as CloudLab and Chameleon Cloud with growing demands to support larger size experiments. But while commercial compute cloud platforms have grown exponentially, research infrastructures have grown modestly. Unfortunately, this `scale' gap seems likely to grow over time, threatening to inhibit academic researchers from directly innovating in large-scale computing systems research.The Cloudjoin project seeks to develop a long-term, sustainable approach to shrink the scaling gap by creating hybrid CRIs with elastic computing. The project will develop methods, tools, and best practices for integration of cloud CRI and commercial compute clouds. Cloudjoin promises to permit experiments to scale at low cost while maintaining experiment reproducibility and preserving an intellectual `home' for computing systems research experimenters. The project explores three cloud integration research thrusts. In the first research thrust we ask "How should a CRI operator architect and implement her infrastructure's connectivity to a public cloud?" The second thrust asks: "How should an experimenter partition compute and storage resources between CRI and the public cloud?" The final thrust addresses the complexities of scaling experiments by exploring and embracing professional quality, multi-cloud management platforms equipped with monitoring, logging, alerting, error reporting and profiling capabilities.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

过去十年，大规模数据中心计算和网络的进步加速了整个计算机科学的创新。大规模、数据密集型系统实验对于加速科学发展越来越重要，培养一支能够在大型云应用平台上解决大数据问题的劳动力也同样重要，而这些平台对美国经济越来越重要。为了在大规模计算机系统研究时代保持领先地位，系统研究社区向 CloudLab 和 Chameleon Cloud 等计算研究基础设施 (CRI) 运营商施加越来越大的支持更大规模实验的需求。但是，尽管商业计算云平台呈指数级增长，但研究基础设施却增长缓慢。不幸的是，这种“规模”差距似乎会随着时间的推移而扩大，威胁到学术研究人员在大规模计算系统研究中的直接创新。Cloudjoin 项目旨在开发一种长期、可持续的方法，通过创建具有弹性计算的混合 CRI。该项目将开发用于集成云 CRI 和商业计算云的方法、工具和最佳实践。 Cloudjoin 承诺允许实验以低成本扩展，同时保持实验的可重复性并为计算系统研究实验者保留一个知识“家园”。该项目探索了三个云集成研究重点。在第一个研究重点中，我们问“CRI 运营商应该如何设计和实施其基础设施与公共云的连接？”第二个要点是：“实验者应该如何在 CRI 和公共云之间划分计算和存储资源？”最终目标是通过探索和采用专业品质、配备监控、日志记录、警报、错误报告和分析功能的多云管理平台来解决扩展实验的复杂性。该奖项反映了 NSF 的法定使命，并通过评估被认为值得支持利用基金会的智力优势和更广泛的影响审查标准。

项目成果

CloudJoin: Experimenting at scale with Hybrid Cloud Computing

CloudJoin：大规模试验混合云计算

• DOI: 10.1109/5gwf49715.2020.9221055
• 发表时间: 2020-09
• 期刊: 2020 IEEE 3rd 5G World Forum (5GWF
• 作者: Brassil, Jack;Kopaliani, Irene
• 通讯作者: Kopaliani, Irene

Investigating Integrated Access and Backhaul on the Aether 5G Testbed

研究 Aether 5G 测试台上的集成接入和回程

• DOI: 10.1109/5gwf52925.2021.00056
• 发表时间: 2021-10
• 期刊: 2021 IEEE 4th 5G World Forum
• 作者: Brassil; Jack
• 通讯作者: Jack