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: 2027174
• 负责人: Paul Ruth
• 金额: $ 55万
• 依托单位: University of North Carolina at Chapel Hill
• 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=2027174&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是一个支持计算机科学（CS）系统实验的深度可重构实验平台。该平台由两个站点组成，即芝加哥大学（UC）和德克萨斯州高级计算中心（TACC），沿着西北大学和北卡罗来纳州大学的支持功能。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）、现场可编程门阵列（FPGA）、专用架构和创新网络硬件集群反映了多样性。用户可以在裸机级别重新配置此硬件、从自定义内核靴子、访问串行控制台或调配和重新配置支持软件定义网络（SDN）的交换机。自2015年7月公开以来，Chameleon已经吸引了超过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大大扩展其核心功能。支持的实验范围将扩大到包括物联网（IoT）和边缘计算，更广泛的网络实验以及分散硬件实验。该系统还将通过提供工具来扩展其对可重复性的支持，这些工具允许研究人员将他们的实验打包以进行复制，并使发表、发现和引用它们成为可能。最后，第三阶段将继续打包Chameleon基础设施，称为CHI-in-a-Box，允许其他人部署和管理类似于Chameleon的测试平台。Chameleon项目将继续其使命，即为云计算中的CS研究和教育提供一个平台，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，Chameleon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操作员只需使用测试平台就可以熟悉主流云功能，而且Chameleon项目的开源贡献直接影响了云行业广泛使用的系统。最后，通过其对实验管理和可重复性的支持，Chameleon影响了CS实验方法，使更有效的研究成为可能。要使用Chameleon或了解有关该系统的更多信息，请访问www.chameleoncloud.org。对于任何对系统的开发方面或Chameleon的包装感兴趣的人，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迄今为止的痕迹，请参阅https://www.scienceclouds.org/cloud-traces/。这个奖项反映了NSF的法定使命，并被认为是值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估的支持。