I-Corps: Translation Potential of Smart Software-Defined Vehicle Management Technology
I-Corps:智能软件定义车辆管理技术的转化潜力
基本信息
- 批准号:2406574
- 负责人:
- 金额:$ 5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2024
- 资助国家:美国
- 起止时间:2024-02-15 至 2025-01-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
The broader impact of this I-Corps project is the development of a software container management technology for vehicles. Currently, software containers are emerging technologies that enable easy deployment of the software as services, independent from the hardware devices hosting them in such devices as smart and connected vehicles. The execution of software containers can become computationally expensive in constrained environments with limited central processing unit (CPU) memory and energy resources. This technology is designed to provide efficient management of these containers, which is key to enabling the on-demand usage of vehicle software applications while considering several constraints and priorities including security.This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. This technology is based on the prior development of software container management technology for constrained environments such as embedded devices/electronic control units (ECUs) in smart cars. The technology is an orchestration solution to manage the performance of software running both on the edge and in the cloud. The technology balances the load between ECUs in the car, minimizing the CPU memory and power consumption when in power saving mode, while also handling the constraints in the car and in other devices such as phones. The technology is designed to allocate or move or suspend containers between the clusters/ECUs. The solution was evaluated using different real-world scenarios (e.g., bugs isolation and low energy mode), using heterogeneous clusters of ECU devices in the vehicle. The technology represents one of the first container management tools for software running in constrained devices.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
I-Corps 项目更广泛的影响是开发车辆软件容器管理技术。目前,软件容器是新兴技术,可以轻松地将软件部署为服务,独立于智能和互联车辆等设备中托管软件的硬件设备。 在中央处理单元 (CPU) 内存和能源资源有限的受限环境中,软件容器的执行可能会变得计算成本高昂。该技术旨在提供对这些容器的高效管理,这是实现车辆软件应用程序按需使用的关键,同时考虑包括安全在内的多个约束和优先事项。该 I-Corps 项目利用体验式学习与第一手调查相结合行业生态系统来评估技术的转化潜力。该技术基于先前针对智能汽车中的嵌入式设备/电子控制单元 (ECU) 等受限环境开发的软件容器管理技术。该技术是一种编排解决方案,用于管理在边缘和云中运行的软件的性能。该技术平衡了汽车内 ECU 之间的负载,在节能模式下最大限度地减少 CPU 内存和功耗,同时还处理汽车和电话等其他设备的限制。 该技术旨在在集群/ECU 之间分配、移动或暂停容器。使用车辆中 ECU 设备的异构集群,使用不同的现实场景(例如错误隔离和低能耗模式)对该解决方案进行了评估。该技术代表了第一个用于在受限设备中运行的软件的容器管理工具。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力优点和更广泛的影响审查标准进行评估,被认为值得支持。
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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Marouane Kessentini其他文献
On the Use of Machine Learning and Search-Based Software Engineering for Ill-Defined Fitness Function: A Case Study on Software Refactoring
关于使用机器学习和基于搜索的软件工程来解决不明确的适应度函数:软件重构案例研究
- DOI:
10.1007/978-3-319-09940-8_3 - 发表时间:
2014-08-26 - 期刊:
- 影响因子:0
- 作者:
Boukhdhir Amal;Marouane Kessentini;Slim Bechikh;Josselin Dea;L. B. Said - 通讯作者:
L. B. Said
Deviance from perfection is a better criterion than closeness to evil when identifying risky code
在识别有风险的代码时,偏离完美是比接近邪恶更好的标准
- DOI:
10.1145/1858996.1859015 - 发表时间:
2010-09-20 - 期刊:
- 影响因子:0
- 作者:
Marouane Kessentini;S. Vaucher;H. Sahraoui - 通讯作者:
H. Sahraoui
Personalized Multi-Objective Approach for Refactoring Recommendations
用于重构建议的个性化多目标方法
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Josselin Dea;Marouane Kessentini;Ali Ouni - 通讯作者:
Ali Ouni
Do Design Metrics Capture Developers Perception of Quality? An Empirical Study on Self-Affirmed Refactoring Activities
设计指标是否反映了开发人员对质量的看法?
- DOI:
- 发表时间:
2019-07-10 - 期刊:
- 影响因子:0
- 作者:
E. Alomar;Mohamed Wiem Mkaouer;Ali Ouni;Marouane Kessentini - 通讯作者:
Marouane Kessentini
Search-based model transformation by example
基于搜索的模型转换示例
- DOI:
10.1007/s10270-010-0175-7 - 发表时间:
2012-05-01 - 期刊:
- 影响因子:0
- 作者:
Marouane Kessentini;H. Sahraoui;M. Boukadoum;Omar Benomar - 通讯作者:
Omar Benomar
Marouane Kessentini的其他文献
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{{ truncateString('Marouane Kessentini', 18)}}的其他基金
Research Experience for Undergraduates in Digital Accessibility
数字无障碍本科生研究经验
- 批准号:
2426230 - 财政年份:2024
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Research Experience for Undergraduates in Digital Accessibility
数字无障碍本科生研究经验
- 批准号:
2349350 - 财政年份:2024
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Collaborative Research: CCRI: New: A Software Refactoring Community Infrastructure
合作研究:CCRI:新:软件重构社区基础设施
- 批准号:
2409729 - 财政年份:2023
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
IUCRC Phase I Oakland University: Center for Pervasive Personalized Intelligence (PPI)
IUCRC 第一阶段 奥克兰大学:普适个性化情报中心 (PPI)
- 批准号:
2231619 - 财政年份:2023
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
Elements: An Infrastructure for Software Quality and Security Issues Detection and Correction
要素:软件质量和安全问题检测和纠正的基础设施
- 批准号:
2416756 - 财政年份:2023
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Collaborative Research: CCRI: New: A Software Refactoring Community Infrastructure
合作研究:CCRI:新:软件重构社区基础设施
- 批准号:
2213763 - 财政年份:2022
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Collaborative Research: Elements: Software: Software Health Monitoring and Improvement Framework
协作研究:要素:软件:软件健康监控和改进框架
- 批准号:
2227248 - 财政年份:2022
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Elements: An Infrastructure for Software Quality and Security Issues Detection and Correction
要素:软件质量和安全问题检测和纠正的基础设施
- 批准号:
2216894 - 财政年份:2022
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
IUCRC Planning Grant University of Michigan Dearborn: Center for Pervasive Personalized Intelligence Center
IUCRC 规划拨款密歇根大学迪尔伯恩分校:普适个性化情报中心
- 批准号:
2217506 - 财政年份:2022
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
PFI–TT: Intelligent Software Refactoring Bot for Continuous Integration
PFI™TT:用于持续集成的智能软件重构机器人
- 批准号:
2216768 - 财政年份:2022
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
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