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.

变色龙是一个深度可重构的实验试验台，支持计算机科学(CS)系统实验。该平台包括芝加哥大学(UC)和德克萨斯高级计算中心(TACC)两个站点，以及西北大学和北卡罗来纳大学的支持功能。该平台平衡了对大规模硬件的投资，以支持大计算和大数据试验，并通过图形处理单元(GPU)、现场可编程门阵列(FGA)、专业架构和创新网络硬件的较小群集反映出多样性。用户可以在裸机级别重新配置此硬件、从定制内核启动、访问串行控制台或配置和重新配置启用软件定义网络(SDN)的交换机。自2015年7月公开发布以来，变色龙已经吸引了超过4000名用户参与600多个教育和研究项目。在第三阶段，变色龙将通过添加新硬件和新功能来极大地扩展其核心能力。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的实验。该系统还将通过提供工具，允许研究人员将他们的实验打包以供复制，并使其能够轻松地发布、发现和引用，从而扩大对重复性的支持。最后，第三阶段将看到包装变色龙基础设施的工作继续进行，即Chi-in-a-Box，它允许其他人部署和管理类似变色龙的试验台。变色龙项目将继续其使命，为CS在云计算方面的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，Chameleon构建在主流的开源云技术(OpenStack)之上；这不仅意味着它的用户和运营商只需与试验床合作就能熟悉主流的云功能-而且Chameleon项目的开源贡献直接影响了云行业中广泛使用的系统。最后，通过对实验管理和重复性的支持，变色龙改变了CS的实验方法，使更有效的研究成为可能。要使用变色龙或了解更多关于该系统的信息，请访问www.Chameleoncloud.org。对于任何对系统的开发方面或变色龙的打包感兴趣的人，例如，X-in-a-Box，请访问https://github.com/ChameleonCloud/chi-in-a-box/wiki.上的GitHub存储库如果用户想要探索从变色龙到目前为止的痕迹，请参阅https://www.scienceclouds.org/cloud-traces/.这些遗址将在整个项目期间得到维护。这一奖励反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。