CISE Research Infrastructure: Infrastructure for Power-Aware Server Clusters

EIA 02- 24428 Bianchini，RicardKremer，UlrichRutgers University新玩法标题：CISE RR：Power-Aware Server Clusters的基础设施该提案调查了群集环境中涉及的功率、能源、性能和功能问题以及权衡，旨在获得用于研究Power-Aware servers群集的设备。基础设施的大部分由一组“刀片”服务器组成。 由于刀片服务器消耗的功率更少，并且允许比传统服务器更精细地控制功率状态，因此它们被认为是功率和节能研究的理想选择。该基础设施支持两个研究项目：基于集群的Internet服务器（如大容量WWW、数据库或文件服务器）的节能策略防篡改和容错传感器网络环境中的计算和数据服务器。前一个项目涉及支持大多数WWW数据/托管中心、Internet公司和大量教学和研究机构的服务器，但消耗大量的电力和能源。节约这些资源对于降低这些群集的安装和运行成本至关重要。在不降低性能（或至少不过度降低性能）的情况下节省功率和能量构成了挑战。提出的集群刀片支持设计和实验，这些技术可以调度对资源的需求，允许从活动模式过渡到低功耗模式，而不会带来相关的性能损失。该项目对异构服务器进行了实验，这些服务器包括刀片服务器和传统的高功耗服务器的组合。后一个项目设计传感器网络来识别，监视和跟踪物理空间内的对象或主体。这个整体空间被划分为子空间，每个子空间都有自己的服务器（或小型服务器集群），所有服务器都通过网络连接。该设计允许传感器数据的局部和全局处理和评估。在这种情况下，能源效率再次变得至关重要，因为服务器需要能够在长时间断电后仍然提供关键服务。刀片服务器集群可用于研究此环境中关键服务器任务的能耗行为，并可用于试验降低这些任务能耗而不会显著降低其性能和功能的技术。在教育方面，刀片服务器和系统将用于开发操作系统、分布式计算和编译器课程。电力和能源消耗，以及性能，设计，实施和评估指南将得到推广。

EIA 02-24428Bianchini, RicardKremer, UlrichRutgers University New Brunswick Title: CISE RR: Infrastructure for Power-Aware Server Clusters This proposal, investigating the power, energy, performance, and functionality issues and trade-offs involved in cluster environments, aims at acquiring equipment for research on power aware clusters of servers. The bulk of the infrastructure consists of a cluster of "blade" servers. Since blade servers consume less power and allow finer control of power states than traditional servers, they are considered ideal for power and energy conservation research. The infrastructure supports two research studies in:Strategies for conserving power and energy in cluster-based Internet servers, such as high-capacity WWW, database, or file serversComputation and data servers in the context of a tamper-resistant and fault-tolerant sensor network.The former project involves servers that support most WWW data/hosting centers, Internet companies, and a large number of teaching and research institutions, but consume significant amounts of power and energy. Conserving these resources is critical to reduce the installation and operation costs of these clusters. Conserving power and energy without degrading performance (or at least without degrading excessively) constitutes the challenge. The cluster blades proposed enable designs and experiments with techniques that can schedule the demand for resources, permitting transitioning from active to low-power model without relevant performance penalty. The project experiments with heterogeneous servers comprising combination of blades and traditional, power-hungry servers. The latter project designs the sensor network to identify, monitor, and track objects or subjects within a physical space. This overall space is divided into subspaces, where each subspace has its own server (or small cluster of servers), and all servers are connected via a network. The design allows local and global processing and evaluation of sensor data. Again, energy efficiency becomes crucial in this context because the servers need to be able to survive power failures for extended periods of time and still provide critical services. The cluster of blades enables the study of energy behavior of the critical server tasks in this environment, as well as experiment with techniques that can reduce the energy consumption of these tasks without noticeably degrading their performance and functionality.On the educational side, the blades and the systems will be exploited developing operating systems, distributed computing, and compiler courses. Power and energy consumption, as well as performance, design, implementation, and evaluation guidelines will be promoted.