Collaborative Research: Chameleon Phase III: A Large-Scale, Reconfigurable Experimental Environment for Cloud Research

合作研究：Chameleon 第三阶段：用于云研究的大规模、可重构实验环境

• 批准号: 2027170
• 负责人: Katarzyna Keahey
• 金额: $ 614.9万
• 依托单位: University of Chicago
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2027170&HistoricalAwards=false
• 关键词: Collaborative; Research; Chameleon; Phase; III

Chameleon is a deeply reconfigurable experimental testbed supporting Computer Science (CS) systems experimentation. The platform consists of two sites, University of Chicago (UC) and Texas Advanced Computing Center (TACC), along with support functionalities from Northwestern University and the University of North Carolina. the platform balances investment in large-scale hardware to support Big Compute and Big Data experimentation with diversity reflected by smaller clusters of graphic processing units (GPUs), field programmable gate arrays (FPGAs), specialized architectures, and innovative networking hardware. Users can reconfigure this hardware at bare-metal level, boot from custom kernel, get access to serial console, or provision and reconfigure Software Defined Networking (SDN)-enabled switches. Since its public availability in July 2015, Chameleon has attracted a community of over 4,000 users working on over 600 education and research projects.In Phase III, Chameleon will greatly expand its core capabilities by adding new hardware and new features. The range of supported experiments will expand to include Internet of Things (IoT) and edge computing, a broader range of networking experiments, and experimentation with disaggregated hardware. The system will also expand its support for reproducibility by providing tools that allow investigators to package their experiments for replication, and making it possible to publish, discover, and cite them easily. Finally, phase 3 will see a continuation of work on packaging CHameleon Infrastructure, known as CHI-in-a-Box, which allows others to deploy and manage testbeds similar to Chameleon. The Chameleon project will continue its mission of providing a platform for CS research and education in cloud computing, a critical skillset for future computing professionals. Unlike traditional experimental platforms, Chameleon is built on a mainstream open source cloud technology (OpenStack); this not only means that its users and operators gain familiarity with mainstream cloud functions simply by working with the testbed – but also that open source contributions by the Chameleon project directly impact a system widely used in the cloud industry. Finally, through its support of experiment management and repeatability, Chameleon impacts CS experimental methodology and makes more efficient research possible. To use Chameleon or learn more about the system, visit www.chameleoncloud.org. For anyone interested in the development side of the system or the packaging of Chameleon, i.e., CHI-in-a-Box, visit the github repository at https://github.com/ChameleonCloud/chi-in-a-box/wiki. If a user would like to explore traces from Chameleon to date, see https://www.scienceclouds.org/cloud-traces/. These sites will be maintained throughout the duration of the project.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.

Chameleon是一项可深入的实验测试，支持计算机科学（CS）系统实验。该平台由芝加哥大学（UC）和德克萨斯州高级计算中心（TACC）的两个地点组成，以及西北大学和北卡罗来纳大学的支持功能。该平台平衡了大规模硬件的投资，以支持大型计算和大数据实验，并由较小的图形处理单元（GPU），现场可编程门阵列（FPGAS），专业体系结构和创新网络硬件反映的多样性反映出。用户可以在裸机级别重新配置此硬件，从自定义内核启动，访问串行控制台，或提供和重新配置软件定义的网络（SDN）启用的交换机。自2015年7月公开供应以来，Chameleon吸引了一个由4000多名从事600多个教育和研究项目的用户组成的社区。在第三阶段，Chameleon将通过添加新的硬件和新功能来大大扩展其核心能力。支持的实验范围将扩展到包括物联网（IoT）和边缘计算，更广泛的网络实验范围，以及通过分开的硬件进行实验。该系统还将通过提供工具来扩展其对可重复性的支持，这些工具使研究人员可以打包其实验以进行复制，并可以轻松发布，发现和引用它们。最后，第3阶段将在包装变色龙基础架构（称为Chi-In-a-box）方面进行工作的延续，该基础架构允许其他人部署和管理类似于变色龙的测试床。 Chameleon项目将继续其使命，即为Cl Cumpering中的CS研究和教育提供平台，这是未来计算专业人员的关键技能。与传统的实验平台不同，变色龙是建立在主流开源云技术（OpenStack）上的；这不仅意味着它的用户和运营商仅通过使用测试床而熟悉主流云功能，而且还可以直接影响Chameleon项目的开源贡献直接影响云行业广泛使用的系统。最后，通过支持实验管理和可重复性，变色龙会影响CS实验方法，并使更有效的研究成为可能。要使用变色龙或了解有关系统的更多信息，请访问www.chameleoncloud.org。对于对系统开发方面或变色龙包装感兴趣的人，即Chi-in-a-box，请访问https://github.com/chameleoncloud/chi-in-chi-in-a-a-box/wiki的GitHub存储库。如果用户想探索从变色龙到日期的痕迹，请访问https://www.scienceclouds.org/cloud-traces/。这些站点将在项目的期限内维持。该奖项反映了NSF的法定任务，并通过使用基金会的知识分子优点和更广泛的影响标准来评估，以诚实的方式表示支持。

项目成果

KheOps: Cost-effective Repeatability, Reproducibility, and Replicability of Edge-to-Cloud Experiments

• DOI: 10.1145/3589806.3600032
• 发表时间: 2023-06
• 期刊: Proceedings of the 2023 ACM Conference on Reproducibility and Replicability
• 作者: Daniel Rosendo;K. Keahey;Alexandru Costan;Matthieu Simonin;P. Valduriez;Gabriel Antoniu

Three Pillars of Practical Reproducibility

实际再现性的三大支柱

• 发表时间: 2023
• 期刊: and Security (ReWorDS 23
• 作者: Keahey K.,;Anderson
• 通讯作者: Anderson

CHI-in-a-Box: Reducing Operational Costs of Research Testbeds

CHI-in-a-Box：降低研究测试台的运营成本

• DOI: 10.1145/3491418.3530768
• 发表时间: 2022
• 期刊: Practice and Experience in Advanced Research Computing
• 作者: Keahey, Kate;Anderson, Jason;Sherman, Michael;Hammock, Cody;Zhen, Zhuo;Tillotson, Jenett;Bargo, Timothy;Long, Lance;Ul Islam, Taimoor;Babu, Sarath
• 通讯作者: Babu, Sarath

Migrating towards Single Sign-On and Federated Identity

迁移到单点登录和联合身份

• DOI: 10.1145/3491418.3530770
• 发表时间: 2022
• 期刊: Practice and Experience in Advanced Research Computing
• 作者: Anderson, Jason;Keahey, Kate
• 通讯作者: Keahey, Kate