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

该项目的目标是获取和开发一个仪器数据中心测试平台，该平台横跨美国国家科学基金会自主计算中心（CAC）的三个站点——佛罗里达大学（UF）、亚利桑那大学（UA）和罗格斯大学、新泽西州立大学（RU）。数据中心是社会IT基础设施中日益增长的组成部分，包括与卫生、银行、商业、国防、教育和娱乐相关的服务。如今数据中心每年的能源和管理成本高达数十亿美元；能耗高也会导致散热过多，从而增加冷却成本，提高服务器故障率。拟议的试验台将使人们能够基本了解数据中心的运作及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质性、动态性和分布性，并包括所有级别的嵌入式仪器，包括平台、虚拟化、中间件和应用层。它的规模和地理分布使研究数据中心应用程序、服务、中间件和体系结构所面临的挑战成为可能，这些挑战与“向上扩展”（单个服务器容量的增加）和“向外扩展”（系统中服务器数量的增加）相关。该测试平台将为管理和优化大型数据中心的跨层自治研究提供基础和深远的研究。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以及服务和应用程序领域的RU。大学站点之间的合作将为正在进行的独立研究工作带来一致性，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影响，这些问题到目前为止主要是在单个层面上考虑的。该测试平台还将为多层次的教育提供关键基础设施，包括通过课程项目为学生提供实践经验，支持开发新的先进的多大学和跨学科课程，以及专注于端到端自治的多站点组项目，这些项目将使用拟议的测试平台。来自代表性不足群体的学生将积极参与研究，并将通过与少数群体机构的持续合作增加他们的参与。更广泛的社区参与将源于与最近提出的行业云计划不断发展的伙伴关系。

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.