CPS: Synergy: Collaborative Research: Thermal-Aware Management of Cyber-Physical Systems

CPS:协同:协作研究:网络物理系统的热感知管理

基本信息

项目摘要

Processors in cyber-physical systems are increasingly being used in applications where they must operate in harsh ambient conditions and a computational workload which can lead to high chip temperatures. Examples include cars, robots, aircraft and spacecraft. High operating temperatures accelerate the aging of the chips, thus increasing transient and permanent failure rates. Current ways to deal with this mostly turn off the processor core or drastically slow it down when some part of it is seen to exceed a given temperature threshold. However, this pass/fail approach ignores the fact that (a) processors experience accelerated aging due to high temperatures, even if these are below the threshold, and (b) while deadlines are a constraint for real-time tasks to keep the controlled plant in the allowed state space, the actual controller response times that will increase if the voltage or frequency is lowered (to cool down the chip) are what determine the controlled plant performance. Existing approaches also fail to exploit the tradeoff between controller reliability (affected by its temperature history) and the performance of the plant. This project addresses these issues. Load-shaping algorithms are being devised to manage thermal stresses while ensuring appropriate levels of control quality. Such actions include task migration, changing execution speed, selecting an alternative algorithm or software implementation of control functions, and terminating prematurely optional portions of iterative tasks. Validation platforms for this project include automobiles and unmanned aerial vehicles. These platforms have been chosen based on both their importance to society and the significant technical challenges they pose.With CPS becoming ever more important in our lives and businesses, this project which will make CPS controllers more reliable and/or economical has broad potential social and economic impacts. Collaboration with General Motors promotes transition of the new technology to industry. The project includes activities to introduce students to thermal control in computing, in courses spanning high-school, undergraduate and graduate curricula.
网络物理系统中的处理器越来越多地被用于必须在恶劣的环境条件和可能导致芯片温度高的计算工作负荷下运行的应用。例子包括汽车、机器人、飞机和宇宙飞船。较高的工作温度加速了芯片的老化,从而增加了瞬时和永久性故障率。目前处理这一问题的方法大多是在处理器内核的某一部分超过给定的温度阈值时关闭处理器内核或大幅减慢它的速度。然而,这种通过/失败方法忽略了以下事实:(A)处理器由于高温而加速老化,即使这些温度低于阈值,以及(B)尽管截止日期是实时任务将受控对象保持在允许的状态空间的约束,但如果降低电压或频率(以冷却芯片),将增加的实际控制器响应时间是决定受控对象性能的因素。现有的方法也不能利用控制器可靠性(受其温度历史影响)和工厂性能之间的权衡。这个项目解决了这些问题。正在设计负载整形算法来管理热应力,同时确保适当水平的控制质量。这些动作包括任务迁移、改变执行速度、选择控制功能的替代算法或软件实现、以及过早地终止迭代任务的可选部分。该项目的验证平台包括汽车和无人机。选择这些平台是基于它们对社会的重要性和它们带来的重大技术挑战。随着CPS在我们的生活和商业中变得越来越重要,这个将使CPS控制器更可靠和/或更经济的项目具有广泛的潜在社会和经济影响。与通用汽车的合作促进了新技术向产业的过渡。该项目包括在高中、本科和研究生课程中向学生介绍计算机中的热控制的活动。

项目成果

期刊论文数量(0)
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会议论文数量(0)
专利数量(0)

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Kang Shin其他文献

Compliant control of robotic manipulators with resolved acceleration
具有解析加速度的机器人操纵器的合规控制
Suboptimal control of industrial manipulators with a weighted minimum time-fuel criterion
具有加权最小时间燃料准则的工业机械手的次优控制
Analytic evaluation of contention protocols used in distributed real-time systems
  • DOI:
    10.1007/bf01094173
  • 发表时间:
    1995-07-01
  • 期刊:
  • 影响因子:
    1.300
  • 作者:
    Kang Shin;Chao-Ju Hou
  • 通讯作者:
    Chao-Ju Hou

Kang Shin的其他文献

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{{ truncateString('Kang Shin', 18)}}的其他基金

Collaborative Research: SaTC: CORE: Medium: Securing Interactions between Driver and Vehicle Using Batteries
合作研究:SaTC:核心:中:使用电池确保驾驶员和车辆之间的交互安全
  • 批准号:
    2245223
  • 财政年份:
    2023
  • 资助金额:
    $ 54万
  • 项目类别:
    Continuing Grant
CPS:Small: Imposing Recovery Period for Battery Health Monitoring, Prognosis, and Optimization
CPS:Small:为电池健康监测、预测和优化施加恢复期
  • 批准号:
    1739577
  • 财政年份:
    2017
  • 资助金额:
    $ 54万
  • 项目类别:
    Standard Grant
CPS: Breakthrough: Secure Interactions with Internet of Things
CPS:突破:与物联网的安全交互
  • 批准号:
    1646130
  • 财政年份:
    2016
  • 资助金额:
    $ 54万
  • 项目类别:
    Continuing Grant
CPS: Synergy: Adaptive Management of Large Energy Storage Systems for Vehicle Electrification
CPS:协同:车辆电气化大型储能系统的自适应管理
  • 批准号:
    1446117
  • 财政年份:
    2015
  • 资助金额:
    $ 54万
  • 项目类别:
    Standard Grant
Synergy: Collaborative: Security and Privacy-Aware Cyber-Physical Systems
协同:协作:安全和隐私意识的网络物理系统
  • 批准号:
    1505785
  • 财政年份:
    2015
  • 资助金额:
    $ 54万
  • 项目类别:
    Continuing Grant
NeTS: Small: Collaborative Research: Efficient Spectrum Access for Gbps WLANs in a Crowd of Legacy Networks
NeTS:小型:协作研究:在众多传统网络中实现 Gbps WLAN 的高效频谱接入
  • 批准号:
    1317411
  • 财政年份:
    2013
  • 资助金额:
    $ 54万
  • 项目类别:
    Standard Grant
NeTS: Medium: Collaborative Research: Enabling Cellular Services over Unplanned Femto-Cell Deployments: From Theory to Implementation
NeTS:媒介:协作研究:在计划外的 Femto-Cell 部署上实现蜂窝服务:从理论到实施
  • 批准号:
    1160775
  • 财政年份:
    2012
  • 资助金额:
    $ 54万
  • 项目类别:
    Standard Grant
EAGER: SmartGreen: An Adaptive Architecture for Management of Large Energy Storage Systems
EAGER:SmartGreen:大型储能系统管理的自适应架构
  • 批准号:
    1138200
  • 财政年份:
    2011
  • 资助金额:
    $ 54万
  • 项目类别:
    Standard Grant
TC: Small: Location-Privacy Protection for Mobile Handset Users
TC:小型:手机用户的位置隐私保护
  • 批准号:
    1114837
  • 财政年份:
    2011
  • 资助金额:
    $ 54万
  • 项目类别:
    Standard Grant
TC: Medium: Self-Securing Services for Mobile Handsets
TC:中:手机的自我保护服务
  • 批准号:
    0905143
  • 财政年份:
    2010
  • 资助金额:
    $ 54万
  • 项目类别:
    Standard Grant

相似海外基金

CPS: Synergy: Collaborative Research: Towards Effective and Efficient Sensing-Motion Co-Design of Swarming Cyber-Physical Systems
CPS:协同:协作研究:实现集群网络物理系统的有效和高效的传感-运动协同设计
  • 批准号:
    1936599
  • 财政年份:
    2019
  • 资助金额:
    $ 54万
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CPS: Synergy: Collaborative Research: DEUS: Distributed, Efficient, Ubiquitous and Secure Data Delivery Using Autonomous Underwater Vehicles
CPS:协同:协作研究:DEUS:使用自主水下航行器进行分布式、高效、无处不在和安全的数据传输
  • 批准号:
    1853257
  • 财政年份:
    2018
  • 资助金额:
    $ 54万
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    Standard Grant
CPS: Synergy: Collaborative Research: TickTalk: Timing API for Federated Cyberphysical Systems
CPS:协同:协作研究:TickTalk:联合网络物理系统的计时 API
  • 批准号:
    1645578
  • 财政年份:
    2018
  • 资助金额:
    $ 54万
  • 项目类别:
    Standard Grant
CPS: Synergy: Collaborative Research: TickTalk: Timing API for Federated Cyberphysical Systems
CPS:协同:协作研究:TickTalk:联合网络物理系统的计时 API
  • 批准号:
    1646235
  • 财政年份:
    2018
  • 资助金额:
    $ 54万
  • 项目类别:
    Standard Grant
CPS: Synergy: Collaborative Research: Control of Vehicular Traffic Flow via Low Density Autonomous Vehicles
CPS:协同:协作研究:通过低密度自动驾驶车辆控制车流
  • 批准号:
    1854321
  • 财政年份:
    2018
  • 资助金额:
    $ 54万
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    Standard Grant
CPS: Medium: Collaborative Research: Synergy: Augmented reality for control of reservation-based intersections with mixed autonomous-non autonomous flows
CPS:中:协作研究:协同作用:用于控制具有混合自主-非自主流的基于预留的交叉口的增强现实
  • 批准号:
    1739964
  • 财政年份:
    2018
  • 资助金额:
    $ 54万
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    Continuing Grant
CPS: Synergy: Collaborative Research: Foundations of Secure Cyber-Physical Systems of Systems
CPS:协同:协作研究:安全网络物理系统的基础
  • 批准号:
    1901728
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    $ 54万
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CPS: TTP Option: Synergy: Collaborative Research: An Executable Distributed Medical Best Practice Guidance (EMBG) System for End-to-End Emergency Care from Rural to Regional Center
CPS:TTP 选项:协同:协作研究:用于从农村到区域中心的端到端紧急护理的可执行分布式医疗最佳实践指导 (EMBG) 系统
  • 批准号:
    1842710
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    $ 54万
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CPS: Synergy: Collaborative Research: MRI Powered & Guided Tetherless Effectors for Localized Therapeutic Interventions
CPS:协同作用:协作研究:MRI 驱动
  • 批准号:
    1646566
  • 财政年份:
    2017
  • 资助金额:
    $ 54万
  • 项目类别:
    Standard Grant
Synergy: Collaborative: CPS-Security: End-to-End Security for the Internet of Things
协同:协作:CPS-安全:物联网的端到端安全
  • 批准号:
    1822332
  • 财政年份:
    2017
  • 资助金额:
    $ 54万
  • 项目类别:
    Continuing Grant
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