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

协作研究：Chameleon：用于云研究的大规模、可重构实验环境

• 批准号: 1743358
• 负责人: Katarzyna Keahey
• 金额: $ 537.97万
• 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: 2017
• 资助国家: 美国
• 起止时间: 2017-10-01 至 2022-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1743358&HistoricalAwards=false
• 关键词: Collaborative; Research; Chameleon; Large; Scale

One of two NSFCloud mid-scale experimental computing research infrastructures, Chameleon is a deeply reconfigurable cloud computing testbed supporting large-scale Computer Science experimentation. Located at the University of Chicago and the Texas Advanced Computing Center, it is composed of over 600 compute nodes and a total of 5 petabytes of storage supporting data-intensive science. Since its public availability in July 2015, Chameleon has attracted a community of over 1,300 users working on over 200 education and research projects.In Phase 2 of the NSFCloud program, this project will expand Chameleon capabilities and capacity, and will fulfill its mission of serving as a testbed that is used extensively by the research community by:1) broadening the set of supported experiments through the addition of new hardware and software supporting high bandwidth and Software Defined Networking (SDN)2) providing operational sustainability by streamlining operations, packaging the testbed as open source software that can be leveraged by others, and developing a process for adding resources to the testbed3) provide support for managing, understanding, comparing and reproducing Computer Science experiments, and4) focusing effort on building an engaged community around the testbed via both traditional outreach including targeted training and education efforts, and direct personalized outreach to experimenters.

Chameleon是两个NSFCloud中型实验计算研究基础设施之一，是一个支持大规模计算机科学实验的深度可重构云计算测试平台。它位于芝加哥大学和德克萨斯州高级计算中心，由600多个计算节点和总共5 PB的存储组成，支持数据密集型科学。自2015年7月公开发布以来，Chameleon已吸引了超过1，300名用户组成的社区，参与200多个教育和研究项目。在NSFCloud计划的第二阶段，该项目将扩展Chameleon的功能和容量，并将履行其作为测试平台的使命，被研究界广泛使用：1）通过添加支持高带宽和软件定义网络（SDN）的新硬件和软件来扩大支持的实验集2）通过简化操作来提供操作可持续性，将测试平台打包为其他人可以利用的开源软件，并开发向测试平台添加资源的过程3）为管理，理解，比较和复制计算机科学实验提供支持，以及4）通过包括有针对性的培训和教育工作在内的传统外展活动，集中精力在试验台周围建立一个参与的社区，并直接个性化地接触实验者。

项目成果

Managing Allocatable Resources

管理可分配资源

• 发表时间: 2019
• 期刊: IEEE ... International Conference on Cloud Computing
• 作者: Keahey, Kate;Riteau, Pierre;Anderson, Jason;Zhen, Zhuo
• 通讯作者: Zhen, Zhuo

Operational Lessons from Chameleon

变色龙的操作经验

• 发表时间: 2019
• 期刊: Proceedings of the Humanware Advancing Research in the Cloud
• 作者: Keahey, Kate;Anderson, Jason;Ruth, Paul;Colleran, Jacob;Hammock, Cody;Stubbs, Joe;Zhen, Zhuo
• 通讯作者: Zhen, Zhuo

The Silver Lining

一线希望

• 发表时间: 2020
• 期刊: IEEE internet computing
• 影响因子: 3.2
• 作者: Keahey, K.

A Case for Integrating Experimental Containers with Notebooks

实验容器与笔记本集成案例

• DOI: 10.1109/cloudcom.2019.00032
• 发表时间: 2019
• 期刊: Proceedings of the 11th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2019
• 作者: Anderson, J.;and Keahey, K.
• 通讯作者: and Keahey, K.

Wide-area Software Defined Networking Experiments using Chameleon

使用 Chameleon 进行广域软件定义网络实验

• 发表时间: 2019
• 期刊: IEEE Conference on Computer Communications workshops
• 作者: Ruth, Paul;Cevik, Mert;Keahey, Kate;Riteau, Pierre
• 通讯作者: Riteau, Pierre