I-Corps: Translation Potential of Smart Software-Defined Vehicle Management Technology
I-Corps: Translation Potential of Smart Software-Defined Vehicle Management Technology
批准号:
2406574
负责人:
Marouane Kessentini
金额:
$5.0万
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
项目状态:
未结题
起止时间:
2024-02-15 至 2025-01-31
中文摘要
I-Corps项目的更广泛影响是为车辆开发了一种软件集装箱管理技术。目前,软件容器是一种新兴技术,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在计算上变得昂贵。这项技术旨在提供对这些集装箱的有效管理,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几个限制和优先事项。这个i-Corps项目利用经验学习和对行业生态系统的第一手调查来评估该技术的翻译潜力。该技术基于先前开发的用于受限环境的软件容器管理技术,例如智能汽车中的嵌入式设备/电子控制单元(ECU)。该技术是一种协调解决方案,用于管理在边缘和云中运行的软件的性能。这项技术平衡了汽车中ECU之间的负载,最大限度地减少了处于省电模式下的CPU内存和功耗,同时还处理了汽车和手机等其他设备中的限制。该技术旨在集群/ECU之间分配、移动或悬挂集装箱。该解决方案使用不同的真实场景(例如,错误隔离和低能耗模式)进行了评估,使用了车辆中的ECU设备的异类集群。该技术代表了第一批在受限设备上运行的软件的容器管理工具之一。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
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.
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