Methodologies and Architectures for Probabilistic Real-Time Systems
概率实时系统的方法和架构
基本信息
- 批准号:435606-2013
- 负责人:
- 金额:$ 2.11万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Grants Program - Individual
- 财政年份:2015
- 资助国家:加拿大
- 起止时间:2015-01-01 至 2016-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Computing systems that are subject to strict operational deadlines from event (e.g. alarms, commands, etc.) to response are called real-time systems. These are employed in many applications where the response time of a control system can have a critical impact on the safety of people or infrastructure (e.g. airplanes, automobiles, or satellites). With critical applications become more and more complex, the performance of real-time systems has to increase to guarantee appropriate safety standards. The main obstacle to high-performance real-time systems is the unpredictable timing behaviour of modern computer architectures.
Currently, software designed for real-time systems needs to be guaranteed to be executed within the required time frame. Depending on the complexity of the underlying hardware architecture, this level of certainty might be difficult or impossible to reach. Within this context, this project will introduce a probabilistic approach: by enabling true randomized behaviour in processors and memory architectures, one can define probabilistic metrics for the timing behaviour of a system. This would bring real-time software engineering in line with other engineering domains, that perform risk analysis using component failure probabilities.
In this project we will define novel architectures and design methodologies for truly probabilistic real-time systems, focusing on aerospace applications. Successful implementation of such systems will have tremendous impact on the way critical systems are designed, and the potential benefits in terms of cost of integration, verification, and certification of real-time software are enormous.
受事件(如警报、命令等)的严格操作期限限制的计算系统对响应的响应称为实时系统。在许多应用中,控制系统的响应时间可能对人员或基础设施(例如飞机、汽车或卫星)的安全产生重要影响。随着关键应用变得越来越复杂,实时系统的性能必须得到提高,以保证适当的安全标准。高性能实时系统的主要障碍是现代计算机体系结构的不可预测的计时行为。
目前,为实时系统设计的软件需要保证在所需的时间范围内执行。根据底层硬件体系结构的复杂程度,可能很难或不可能达到此确定性级别。在此背景下,该项目将引入一种概率方法:通过在处理器和内存体系结构中实现真正的随机化行为,可以为系统的定时行为定义概率度量。这将使实时软件工程与其他工程领域保持一致,这些领域使用组件故障概率执行风险分析。
在这个项目中,我们将为真正的概率实时系统定义新的体系结构和设计方法,重点是航空航天应用。这类系统的成功实施将对关键系统的设计方式产生巨大影响,并且在实时软件的集成、验证和认证成本方面的潜在好处是巨大的。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Beltrame, Giovanni其他文献
Long-term pattern formation and maintenance for battery-powered robots
- DOI:
10.1007/s11721-019-00162-1 - 发表时间:
2019-03-01 - 期刊:
- 影响因子:2.6
- 作者:
Li, Guannan;Svogor, Ivan;Beltrame, Giovanni - 通讯作者:
Beltrame, Giovanni
DOOR-SLAM: Distributed, Online, and Outlier Resilient SLAM for Robotic Teams
- DOI:
10.1109/lra.2020.2967681 - 发表时间:
2020-04-01 - 期刊:
- 影响因子:5.2
- 作者:
Lajoie, Pierre-Yves;Ramtoula, Benjamin;Beltrame, Giovanni - 通讯作者:
Beltrame, Giovanni
Dynamic Range-only Localization for Multi-Robot Systems
- DOI:
10.1109/access.2018.2866259 - 发表时间:
2018-01-01 - 期刊:
- 影响因子:3.9
- 作者:
Cao, Yanjun;Li, Meng;Beltrame, Giovanni - 通讯作者:
Beltrame, Giovanni
On the robustness of consensus-based behaviors for robot swarms
- DOI:
10.1007/s11721-020-00183-1 - 发表时间:
2020-09-01 - 期刊:
- 影响因子:2.6
- 作者:
Moussa, Majda;Beltrame, Giovanni - 通讯作者:
Beltrame, Giovanni
Monitoring Glaciers from Space Using a Cubesat
- DOI:
10.1109/mcom.2015.7105665 - 发表时间:
2015-05-01 - 期刊:
- 影响因子:11.2
- 作者:
Fode, Constance;Panerati, Jacopo;Beltrame, Giovanni - 通讯作者:
Beltrame, Giovanni
Beltrame, Giovanni的其他文献
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{{ truncateString('Beltrame, Giovanni', 18)}}的其他基金
Engineering Resilient Swarm Robotics Systems
工程弹性群体机器人系统
- 批准号:
RGPIN-2019-05165 - 财政年份:2022
- 资助金额:
$ 2.11万 - 项目类别:
Discovery Grants Program - Individual
Collective Perception in Swarm Robotics
群体机器人中的集体感知
- 批准号:
RTI-2023-00281 - 财政年份:2022
- 资助金额:
$ 2.11万 - 项目类别:
Research Tools and Instruments
Engineering Resilient Swarm Robotics Systems
工程弹性群体机器人系统
- 批准号:
RGPIN-2019-05165 - 财政年份:2021
- 资助金额:
$ 2.11万 - 项目类别:
Discovery Grants Program - Individual
Robotic Perception in Extreme Environments
极端环境下的机器人感知
- 批准号:
RTI-2021-00770 - 财政年份:2020
- 资助金额:
$ 2.11万 - 项目类别:
Research Tools and Instruments
Robust multi-robot localization and mapping
强大的多机器人定位和地图绘制
- 批准号:
549159-2019 - 财政年份:2020
- 资助金额:
$ 2.11万 - 项目类别:
Alliance Grants
Engineering Resilient Swarm Robotics Systems
工程弹性群体机器人系统
- 批准号:
RGPIN-2019-05165 - 财政年份:2020
- 资助金额:
$ 2.11万 - 项目类别:
Discovery Grants Program - Individual
Engineering Resilient Swarm Robotics Systems
工程弹性群体机器人系统
- 批准号:
RGPIN-2019-05165 - 财政年份:2019
- 资助金额:
$ 2.11万 - 项目类别:
Discovery Grants Program - Individual
Robust Simultaneous Localization and Mapping via Loop Closure Optimization
通过环路闭合优化实现稳健的同步定位和映射
- 批准号:
538631-2019 - 财政年份:2019
- 资助金额:
$ 2.11万 - 项目类别:
Engage Grants Program
Swarm-based Subterranean Exploration
基于群体的地下探索
- 批准号:
RTI-2020-00623 - 财政年份:2019
- 资助金额:
$ 2.11万 - 项目类别:
Research Tools and Instruments
Methodologies and Architectures for Probabilistic Real-Time Systems
概率实时系统的方法和架构
- 批准号:
435606-2013 - 财政年份:2018
- 资助金额:
$ 2.11万 - 项目类别:
Discovery Grants Program - Individual
相似海外基金
Methodologies and Architectures for Probabilistic Real-Time Systems
概率实时系统的方法和架构
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- 资助金额:
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Discovery Grants Program - Individual
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Methodologies and Architectures for Probabilistic Real-Time Systems
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- 批准号:
435606-2013 - 财政年份:2016
- 资助金额:
$ 2.11万 - 项目类别:
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Methodologies and Architectures for Probabilistic Real-Time Systems
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435606-2013 - 财政年份:2014
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$ 2.11万 - 项目类别:
Discovery Grants Program - Individual
New circuits and architectures maximizing the resolution of high-speed ADCs using rigorous probabilistic analysis of component imperfections
新电路和架构通过对组件缺陷进行严格的概率分析,最大限度地提高高速 ADC 的分辨率
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迈向基于纳米级器件的创新、稳健、节能和概率电路和系统架构
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$ 2.11万 - 项目类别:
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Toward innovative, robust, energy-efficient and probabilistic circuit and system architectures based on nanoscale devices
迈向基于纳米级器件的创新、稳健、节能和概率电路和系统架构
- 批准号:
386722-2010 - 财政年份:2013
- 资助金额:
$ 2.11万 - 项目类别:
Discovery Grants Program - Individual
New circuits and architectures maximizing the resolution of high-speed ADCs using rigorous probabilistic analysis of component imperfections
新电路和架构通过对组件缺陷进行严格的概率分析,最大限度地提高高速 ADC 的分辨率
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$ 2.11万 - 项目类别:
Discovery Grants Program - Individual
Methodologies and Architectures for Probabilistic Real-Time Systems
概率实时系统的方法和架构
- 批准号:
435606-2013 - 财政年份:2013
- 资助金额:
$ 2.11万 - 项目类别:
Discovery Grants Program - Individual
Toward innovative, robust, energy-efficient and probabilistic circuit and system architectures based on nanoscale devices
迈向基于纳米级器件的创新、稳健、节能和概率电路和系统架构
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386722-2010 - 财政年份:2012
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