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.

在过去的十年中，大型数据中心计算和网络的进步加速了计算机科学的创新。大规模的数据密集型系统实验对于加速科学越来越重要，因为开发了能够在美国经济越来越核心的大型基于云的应用程序平台上解决大数据问题的劳动力。为了在计算机系统研究的年龄中保持相关性，系统研究社区已敦促计算研究基础设施（CRI）的运营商，例如CloudLab和Chameleon云，对支持更大尺寸的实验的需求越来越大。但是，尽管商业计算云平台呈指数增长，但研究基础架构却适度增长。不幸的是，这个“尺度”差距似乎随着时间的流逝而有可能增加，威胁要抑制学术研究人员直接在大规模计算系统研究中进行创新。云谷项目旨在开发一种长期，可持续的方法，通过通过弹性计算来创造混合CRIS来缩小缩放差距。该项目将开发用于整合云CRI和商业计算云的方法，工具和最佳实践。 CloudJoin有望允许实验以低成本的规模扩展，同时保持实验可重复性并保留用于计算系统研究实验人员的智力“家庭”。该项目探讨了三个云集成研究的推力。在第一次研究中，我们问：“ CRI操作员建筑师应该如何实现其基础设施与公共云的连接？”第二个推力问：“实验者分区应该如何计算CRI和公共云之间的存储资源？”最终的推力通过探索和包含配备有监视，记录，警报，警报，错误报告和分析能力的专业质量，多云管理平台来解决扩展实验的复杂性。该奖项反映了NSF的法定任务，并认为通过基金会的知识绩效和广泛的影响，通过评估值得评估，并被认为是值得的支持。

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
• 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
• 期刊: 2021 IEEE 4th 5G World Forum
• 作者: Brassil, Jack