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CAREER: Exploiting Instruction-Based and User-Behavior-Based Prediction for Energy and Performance Management in Operating Systems

CAREER: Exploiting Instruction-Based and User-Behavior-Based Prediction for Energy and Performance Management in Operating Systems
职业:利用基于指令和基于用户行为的预测来进行操作系统中的能源和性能管理
批准号:
0844569
负责人:
Christopher Gniady
金额:
$32.18万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-03-01 至 2016-02-29

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中文摘要
翻译
提高能源效率是至关重要的,因为未来用户将需要具有甚至更长电池寿命的移动的设备或更高性能的固定系统,即使在能源成本增加时,这些固定系统也是成本有效的。高效能源管理面临的挑战是将系统资源的功率状态与应用或用户需求相匹配。 目标是通过在不使用时保持设备处于低功耗状态来降低能耗,但同时在设备需求到来时提供高响应。 目前的解决方案要么不透明,需要程序员参与,要么在降低能耗方面效果不佳,可能会给应用程序和用户带来显著的延迟。 拟议工作的目标是设计一个完全自主和统一的系统,将透明地检查和适应应用需求的互动以及非互动的应用程序在当前和未来的系统。 这一目标将通过在交互式系统的操作系统中进行非常详细的用户和应用程序行为监控以及对非交互式服务器类型系统进行应用程序监控来实现。捕获和理解此类用户和应用行为对于满足用户对高性能的需求同时节省能源至关重要。该项目将通过课堂作业和独立研究,让学生参与设计和评估各种系统组件和设备类型的节能机制。这些项目和作业将使学生更好地了解他们在未来职业生涯中将面临的挑战。
英文摘要
Improving energy efficiency is critical since future users will demand mobile devices with even longer battery life or higher performance stationary systems that are cost effective to operate even when energy costs increase. The challenge that efficient energy management faces is matching the power state of the system resources to the application or user demand. The goal is to reduce energy consumption by keeping the device in the low-power state when not used, but at the same time provide high response when the demand for the device arrives. Current solutions are either not transparent and require programmer involvement, or are less effective in reducing energy consumption and can expose significant delays to the application and the user. The goal of the proposed work is to design a fully autonomous and unified system that will transparently examine and adapt to application demands of both interactive as well as non-interactive applications in the current and future systems. This goal will be achieved through highly detailed user and application behavior monitoring in the operating system for interactive system, and application monitoring for non-interactive server type systems. Capturing and understanding such user and application behavior is critical in meeting user demand for high performance while saving energy. The project will involve students in designing and evaluating energy-efficient mechanisms for various system components and device types through in-class assignments as well as independent studies. The projects and assignments will provide students with better understanding of the challenges that they will face in their future careers.
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EAGER: NDN-Hadoop: Exploring Applicability of NDN for Big-Data Computing
  • 批准号:
    1551057
  • 项目类别:
    Standard Grant
  • 资助金额:
    $20.0万
  • 财政年份:
    2015
  • 负责人:
    Christopher Gniady
  • 依托单位:
DC: Small: Collaborative Research: Exploring Energy-Reliability Trade-offs in Data Storage Systems
  • 批准号:
    1016198
  • 项目类别:
    Standard Grant
  • 资助金额:
    $13.95万
  • 财政年份:
    2010
  • 负责人:
    Christopher Gniady
  • 依托单位:
CSR-PSCE,SM: Virtual Watts: Energy Management in Virtual Environments
  • 批准号:
    0834179
  • 项目类别:
    Standard Grant
  • 资助金额:
    $0.0万
  • 财政年份:
    2008
  • 负责人:
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  • 依托单位:
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