I/UCRC: Cloud and Autonomic Computing I/UCRC site at Texas Tech University (CAC@TTU)

I/UCRC：德克萨斯理工大学的云和自主计算 I/UCRC 站点 (CAC@TTU)

• 批准号: 1362134
• 负责人: Alan Sill
• 金额: $ 30万
• 依托单位: Texas Tech University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-04-15 至 2021-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1362134&HistoricalAwards=false
• 关键词: UCRC; Cloud; Autonomic; Computing; site

Texas Tech University (TTU) is proposing to be added as a site to the existing I/UCRC for Cloud and Autonomic Computing (CAC). TTU site will focus on cloud standards and standards-based software development innovation. It will extend and enhance the activities of the CAC in areas related to cloud computing best practices and standards research, including standards-based software, development and use of software stacks and reference implementations, and industry applications in real-world settings. TTU site will be working with the largest and most active of the computing-oriented Standards Development Organizations and vendors. The research effort will meet the industry need to organize, classify, develop reference implementations and contribute to the standards-based software in advanced distributed computing. Development of appropriate industry- and community-based consensus standards and application of these methods are required to exploit the capacity for transformative change provided by the new techniques for cloud and other advanced distributed computing. Without coordination on interface standards, algorithms and techniques, many potential advantages of these methods may be compromised due to a chaotic multiplicity of approaches, protocols and application programmer interfaces.The TTU site will leverage contacts with three outreach-oriented organizations with which the PIs are involved: (1) the TTU STEM Education & Outreach project for which the university has been nationally recognized; (2) by extensions of the existing High Performance Computing Center (HPCC) involvement in the SURAgrid regional grid and cloud computing educational dissemination project (including ongoing collaborations with the SURAgrid Virtual Organization and Cloud Computing Options Working Group); and (3) the High Performance Computing Across Texas (HiPCAT) organization, which concentrates on broadening access to grid and cloud computing in the physical sciences. The TTU HPCC and the PIs have extensive involvement with each of these programs. The site will develop an annual targeted workshop to integrate hands-on learning experiences for historically under-represented population groups into the projects that will be carried out during the performance period of this proposal, as well as activities to engage with the needs of selected non-profit organizations in areas in which they could benefit from the use of cloud computing. Texas Tech University has a number of Science, Technology, Engineering, and Mathematics (STEM) educational outreach programs that overlap in the area of recruiting new students and in the mentoring of STEM students from underrepresented groups. The PIs will leverage these programs to strengthen their recruitment efforts.

德克萨斯理工大学（TTU）提议将其作为云和自主计算（CAC）的现有I/UCRC的一个站点。TTU网站将专注于云标准和基于标准的软件开发创新。它将扩展和加强CAC在云计算最佳实践和标准研究相关领域的活动，包括基于标准的软件，软件堆栈和参考实现的开发和使用，以及现实世界环境中的行业应用。TTU网站将与最大和最活跃的面向计算的标准开发组织和供应商合作。研究工作将满足行业需要，组织，分类，开发参考实现，并有助于在先进的分布式计算基于标准的软件。需要制定适当的行业和社区共识标准并应用这些方法，以利用云计算和其他先进分布式计算新技术提供的变革能力。如果没有在接口标准、算法和技术上的协调，这些方法的许多潜在优势可能会因为方法、协议和应用程序接口的混乱多样性而受到损害。TTU网站将利用与PI参与的三个面向外展的组织的联系：（1）TTU STEM教育&外展项目，该大学已获得全国认可;（2）扩大现有的高性能计算中心（HPCC）参与SURAgrid区域网格和云计算教育传播项目（包括与SURAgrid虚拟组织和云计算选项工作组的持续合作）;以及（3）德克萨斯州高性能计算（HiPCAT）组织，它致力于在物理科学领域扩大网格和云计算的使用范围。TTU HPCC和PI广泛参与这些计划。该网站将每年举办一次有针对性的讲习班，将历史上代表性不足的群体的实践学习经验纳入本提案执行期间将开展的项目，并开展活动，满足选定的非营利组织在可受益于云计算的领域的需求。德克萨斯理工大学有许多科学，技术，工程和数学（STEM）教育推广计划，这些计划在招收新生和指导来自代表性不足群体的STEM学生方面重叠。PI将利用这些计划来加强他们的招聘工作。

项目成果

Cloud and on-premises data center usage, expenditures, and approaches to return on investment: A survey of academic research computing organizations

云和本地数据中心的使用、支出和投资回报方法：学术研究计算组织的调查

• DOI: 10.1145/3311790.3396642
• 发表时间: 2020
• 期刊: PEARC '20: Practice and Experience in Advanced Research Computing
• 作者: Chalker, Alan;Hillegas, Curtis W.;Sill, Alan;Broude Geva, Sharon;Stewart, Craig A.
• 通讯作者: Stewart, Craig A.

Redfish Green500 Benchmarker (RGB): Towards Automation of the Green500 Process for Data Centers

Redfish Green500 基准测试 (RGB)：迈向数据中心 Green500 流程的自动化

• DOI: 10.1109/greentech46478.2020.9289729
• 发表时间: 2020
• 期刊: 2020 IEEE Green Technologies Conference(GreenTech
• 作者: Hojati, Elham;Hass, Jon;Sill, Alan;Chen, Yong
• 通讯作者: Chen, Yong