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

该项目的目标是获取并开发一个跨越 NSF 自主计算中心 (CAC) 三个站点——佛罗里达大学 (UF)、亚利桑那大学 (UA) 和罗格斯新泽西州立大学 (RU) 的仪器化数据中心测试台。数据中心是社会 IT 基础设施中日益重要的组成部分，包括与健康、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；高能耗还会导致过度散热，进而增加冷却成本并增加服务器故障率。拟议的测试平台将使人们能够对数据中心的运营及其资源和服务的自主控制和管理有一个基本的了解。底层基础设施的设计反映了现实世界数据中心的自然异构性、动态性和分布性，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。其规模和地理分布使得能够研究数据中心应用程序、服务、中间件和架构所面临的与“纵向扩展”（单个服务器容量的增加）和“横向扩展”（系统中服务器数量的增加）相关的挑战。该测试床将实现专注于管理和优化大型数据中心的跨层自主性的基础性和深远的研究。参与站点将贡献互补的专业知识——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单独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，迄今为止，这些问题主要是在各个层面上考虑的。该测试平台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实践经验，支持开发新的高级多大学和跨学科课程，以及专注于端到端自主性的多站点小组项目，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，并通过与少数群体机构的持续合作来增加他们的参与。与最近提出的行业云计划不断发展的合作伙伴关系将带来更广泛的社区参与。

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.