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

该项目的目标是获得并开发一个仪表化数据中心试验台，覆盖美国国家科学基金会自主计算中心(CAC)的三个地点--佛罗里达大学(UF)、亚利桑那大学(UA)和新泽西州立大学(RU)罗格斯大学。数据中心是社会IT基础设施中越来越多的组成部分，包括与医疗、银行、商业、国防、教育和娱乐相关的服务。当今数据中心每年的能源和管理成本高达数十亿美元；高能耗还会转化为过多的散热，进而增加冷却成本并增加服务器的故障率。拟议的试验台将使人们能够从根本上了解数据中心的运营以及对其资源和服务的自主控制和管理。底层基础设施的设计反映了真实世界数据中心的自然异构性、动态性和分布性，并包括所有级别的嵌入式工具，包括平台、虚拟化层、中间件和应用层。它的规模和地理分布使我们能够研究数据中心应用程序、服务、中间件和架构在“向上扩展”(增加单个服务器的容量)和“向外扩展”(增加系统中的服务器数量)方面所面临的挑战。这一试验台将使专注于管理和优化大型数据中心的跨层自治的基础和深远研究成为可能。参与站点将提供互补的专业知识-资源级别的UA，虚拟化层的UF，以及服务和应用领域的RU。大学网站之间的合作将使正在进行的单独研究工作保持一致，并对数据中心管理问题的建模、制定和解决产生变革性影响，迄今为止，这些问题主要是从个别层面考虑的。试验台还将为各级教育提供关键的基础设施，包括通过课程项目向学生提供实践经验，支持开发新的高级多大学和跨学科课程，以及将使用拟议试验台的侧重于端到端自主学习的多站点小组项目。来自代表性不足群体的学生将积极参与这项研究，并将通过与少数群体机构的持续合作来增加他们的参与。更广泛的社区参与将来自与最近提出的行业云计划的不断发展的合作伙伴关系。

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.