Collaborative Research: II-NEW: An Instrumented Data Center Infrastructure for Research on Cross-Layer Autonomics

协作研究：II-NEW：用于跨层自主研究的仪表化数据中心基础设施

• 批准号: 0855091
• 负责人: Dario Pompili
• 金额: $ 21万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-10-01 至 2012-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0855091&HistoricalAwards=false
• 关键词: Collaborative; Research; II; NEW; Instrumented

This project's goal is to acquire and develop an instrumented datacenter testbed spanning the three sites of the NSF Center for Autonomic Computing (CAC)-the University of Florida (UF), the University of Arizona (UA) and Rutgers, the State University of New Jersey (RU). Datacenters are a growing component of society's IT infrastructure, including services related to health, banking, commerce, defense, education and entertainment. Annual energy and administration costs of today's datacenters amount to billions of dollars; high energy consumption also translates into excessive heat dissipation, which, in turn, increases cooling costs and increases servers' failure rates. The proposed testbed will enable a fundamental understanding of the operations of data centers and the autonomic control and management of their resources and services. The design of the underlying infrastructure reflects the natural heterogeneity, dynamism and distribution of real-world datacenters, and includes embedded instrumentation at all levels, including the platform, virtualization, middleware and application layers. Its scale and geographical distribution enables studies of challenges faced by datacenter applications, services, middleware and architectures related to both "scale-up" (increases in the capacity of individual servers) and "scale-out" (increases in the number of servers in the system). This testbed will enable fundamental and far-reaching research focused on cross-layer autonomics for managing and optimizing large-scale datacenters. The participant sites will contribute complementary expertise-UA at the resource level, UF at the virtualization layer, and RU in the area of services and applications. The collaboration between the university sites will bring coherence across ongoing separate research efforts and have a transformative impact on the modeling, formulation and solution of datacenter management problems, which have so far been considered mostly in terms of individual layers. The testbed will also provide a critical infrastructure for education at multiple levels, including providing students with hands-on experience via course projects, enable development of new advanced multi-university and cross-disciplinary courses, as well as multi-site group projects focused on end-to-end autonomics, which will use the proposed testbed. Students from underrepresented groups will be actively involved in the research and their participation will be increased through ongoing collaborations with minority institutions. Even broader community participation will result from an evolving partnership with the recently proposed industry cloud initiatives.

该项目的目标是获取和开发一个仪器数据中心测试床，该测试床涵盖了NSF自主计算中心（CAC）的三个地点 - 佛罗里达大学（UF），亚利桑那大学（UA）和罗格斯大学（UA），新泽西州立大学（RU）。数据中心是社会IT基础设施的日益增长的组成部分，包括与健康，银行，商业，国防，教育和娱乐有关的服务。当今数据中心的年度能源和管理费用为数十亿美元；高能量消耗也会转化为过量的热量耗散，这反过来又增加了冷却成本并提高了服务器的故障率。拟议的测试床将使对数据中心的运营以及其资源和服务的自主控制和管理有基本的了解。基础基础架构的设计反映了现实世界数据中心的自然异质性，动态和分布，并包括各个级别的嵌入式仪器，包括平台，虚拟化，中间件和应用程序层。它的规模和地理分布能够研究数据中心应用程序，服务，中间件和体系结构与“扩展”（增加单个服务器的能力增加）和“扩展范围”（系统中服务器数量的增加）所面临的挑战。该测试床将实现基本和深远的研究，以跨层自治为管理和优化大规模数据中心。参与者网站将在资源级别，虚拟化层的UF和在服务和应用程序领域的RU贡献补充专业知识-UA。大学站点之间的合作将使正在进行的单独研究工作中连贯，并对数据中心管理问题的建模，制定和解决方案产生变革性的影响，到目前为止，这些问题主要在单个层中被考虑。 测试床还将为多个层次的教育提供关键的基础设施，包括通过课程项目为学生提供动手体验，使新的高级多元大学和跨学科课程以及专注于端到端自主技术的多隔离小组项目，该项目将使用拟议的测试床。来自代表性不足小组的学生将积极参与研究，并且通过与少数族裔机构的持续合作将增加他们的参与。甚至更广泛的社区参与将是由于与最近提出的行业云计划的发展伙伴关系所造成的。