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Collaborative Research: CSR--AES: Energy Management in Real-time, Multi-tier Internet Services

Collaborative Research: CSR--AES: Energy Management in Real-time, Multi-tier Internet Services
合作研究:CSR--AES:实时、多层互联网服务中的能源管理
批准号:
0615277
负责人:
Kevin Skadron
金额:
$20.5万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-06-15 至 2010-05-31

项目摘要

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中文摘要
翻译
摘要:本项目采用不影响性能要求的形式化优化方法,为大型、多层数据中心开发能源管理技术。高性能的互联网服务通常在功能上被分解成跨越多台机器的多个半独立层的管道。由于分阶段升级,这些回报可能由系统世代的异构混合组成。电力输送和冷却成本构成了总拥有成本的重要组成部分。这种系统的预期工作负载是非周期性的,具有高度变化的执行需求和可能显著的I/O活动。这代表了一个重大节能的机会,但前提是性能保证可以保持。可扩展性还要求本地电源管理决策必须产生全局最优的能耗。虽然已经为更简单的架构设计了有效的电源管理策略,但没有直接的扩展性别使它们适用于多层集群,同时保留响应时间保证。结果将在主要会议上传播,软件也将在互联网上公开提供,供研究界在进一步的研究中使用,或供工业界作为可能的产品开发的基础。此外,从全球社会的角度来看,成功的能源管理有助于节约自然资源,同时降低服务提供商的成本,促进经济增长和IT创新。最后,本研究将有助于培养研究生和本科生。
英文摘要
Abstract:This project develops energy management techniques for large-scale,multi-tier data-centers, using formal optimization methods that do notcompromise performance requirements. High-performance Internetservices are often functionally decomposed into a pipeline ofmultiple, semi-independent tiers spanning multiple machines. These inturn might consist of a heterogeneous mix of system generations, dueto phased upgrades. Power delivery and cooling costs constitute asignificant part of total cost of ownership.The expected workload of such a system is aperiodic, with highlyvarying execution demand and possibly significant I/O activity. Thisrepresents an opportunity for major energy savings, but only ifperformance guarantees can be maintained. Scalability also requiresthat local power management decisions must yield globally optimalenergy consumption. Although effective power management policies havebeen devised for simpler architectures, no straightforward extensionsexist to make them applicable to multi-tier clusters while preservingresponse-time guarantees.Results will be disseminated at leading conferences and the softwarewill also be publicly available on the Internet for use by theresearch community in further research, or by the industry as a basisfor possible product development. Moreover, from a global societalperspective, successful energy management helps save naturalresources, while reduced service-provider costs foster economic growthand IT innovation. Finally, this research will help train graduateand undergraduate students.
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Collaborative Research: SHF: Medium: A hardware-software co-design approach for high-performance in-memory analytic data processing
  • 批准号:
    2312740
  • 项目类别:
    Standard Grant
  • 资助金额:
    $40.0万
  • 财政年份:
    2023
  • 负责人:
    Kevin Skadron
  • 依托单位:
CI-New: Community Infrastructure Supporting Hardware Acceleration Research and Education
  • 批准号:
    1730606
  • 项目类别:
    Standard Grant
  • 资助金额:
    $49.96万
  • 财政年份:
    2017
  • 负责人:
    Kevin Skadron
  • 依托单位:
XPS:FULL: New Abstractions and Applications for Automata Computing
  • 批准号:
    1629450
  • 项目类别:
    Standard Grant
  • 资助金额:
    $87.5万
  • 财政年份:
    2016
  • 负责人:
    Kevin Skadron
  • 依托单位:
CI-P: Community Infrastructure to Catalyze Research in Automata Computing
  • 批准号:
    1513188
  • 项目类别:
    Standard Grant
  • 资助金额:
    $9.98万
  • 财政年份:
    2015
  • 负责人:
    Kevin Skadron
  • 依托单位:
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Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
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