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: 2027176
• 负责人: Daniel Stanzione
• 金额: $ 300.1万
• 依托单位: University of Texas at Austin
• 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=2027176&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 是一个可深度重构的实验测试台，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) 两个站点组成，并提供西北大学和北方大学的支持功能。 Carolina. 该平台平衡了对大规模硬件的投资，以支持大计算和大数据实验，并通过较小的图形处理单元（GPU）集群、现场可编程门阵列（FPGA）、专用架构来体现多样性。自 2015 年 7 月公开发布以来，用户可以在裸机级别重新配置该硬件、从自定义内核启动、访问串行控制台或配置和重新配置支持软件定义网络 (SDN) 的交换机。吸引了超过 4,000 名用户参与 600 多个教育和研究项目。在第三阶段，Chameleon 将通过添加新硬件和新功能来极大扩展其核心功能的支持范围。实验将扩展到包括物联网（IoT）和边缘计算、更广泛的网络实验以及分类硬件实验。该系统还将通过提供允许研究人员打包实验以进行复制的工具来扩展其对可重复性的支持。最后，第 3 阶段将继续进行 CHMeleon 基础设施打包工作，称为 CHI-in-a-Box，它允许其他人部署和管理类似于的测试平台。 Chameleon 项目将继续其为云计算领域的计算机科学研究和教育提供平台的使命，与传统的实验平台不同，Chameleon 是基于主流开源云技术 (OpenStack) 构建的。不仅意味着其用户和运营商只需通过测试床即可熟悉主流云功能，而且 Chameleon 项目的开源贡献也通过其对实验管理的支持直接影响云行业广泛使用的系统。和重复性， Chameleon 影响了 CS 实验方法并使得更高效的研究成为可能。对于任何对 Chameleon 系统的开发或封装感兴趣的人，请访问 www.chameleoncloud.org，即 CHI-in。 -a-Box，请访问 github 存储库：https://github.com/ChameleonCloud/chi-in-a-box/wiki 如果用户想探索 Chameleon 迄今为止的踪迹，请参阅https://www.scienceclouds.org/cloud-traces/。这些网站将在整个项目期间得到维护。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响进行评估，被认为值得支持。审查标准。