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

该项目的目标是获得和开发一个仪表化数据中心测试平台，该平台跨越NSF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（Rutgers）、新泽西的州立大学（RU）。数据中心是社会IT基础设施的一个日益增长的组成部分，包括与健康、银行、商业、国防、教育和娱乐相关的服务。如今的服务器中心每年的能源和管理成本高达数十亿美元;高能耗还转化为过度的散热，这反过来又增加了冷却成本并增加了服务器的故障率。拟议的测试平台将使人们对数据中心的运营以及对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中的异构性、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、中间件和应用程序层。它的规模和地理分布使得研究数据中心应用程序、服务、中间件和架构所面临的挑战成为可能，这些挑战与“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）有关。该测试平台将实现基础和深远的研究，重点是跨层架构，以管理和优化大型数据中心。参与者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使正在进行的独立研究工作保持一致，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层次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，开发新的高级多大学和跨学科课程，以及专注于端到端学习的多站点小组项目，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，他们的参与将通过与少数民族机构的持续合作而增加。与最近提出的行业云计划的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.