一句话：提出特性模型切片方法，支持任务关键边缘应用的实时配置选择。
边缘计算为任务关键应用带来低延迟与可扩展性，但边缘硬件的异构性以及应用对执行时间的严格要求，使得应用需要灵活的控制与动态适配，也增加了系统建模复杂度。软件产品线工程中的特性模型（Feature Model）可用于描述应用的不同可选组合，但计算有效配置的耗时过长，难以满足任务关键应用流程的动态调整。本文提出一种特性模型切片方法，通过切片来加速对有效配置的选取，从而支持边缘上任务关键应用的实时选择与重构。摘要未报告具体实验与定量结果，作者主张该方法能够满足任务关键应用对执行时间的严格要求。
At first glance, running mission-critical applications at the edge appears to be an opportunity to benefit from scalability and reusability. The low latency to the edge makes it particularly interesting for mission-critical applications. The hardware heterogeneity of the edge, coupled with the strict requirement for the execution time of a mission-critical application, creates the need for flexible application control and, at the same time, increases the complexity of modeling such systems. With its Feature Models (FMs), software product line engineering offers a modeling option for various alternative compositions of an application. However, the calculation of valid configurations takes too long for the dynamic adaptation of an application flow of a mission-critical application. This paper presents an approach for slicing FMs to support mission-critical applications. Our approach supports the strict requirements on the execution time of mission-critical applications.
DOI 原文 ·
@inproceedings{paperbot8300,
title = {Feature Model Slicing for Real-time Selection of Mission-critical Edge Application},
author = {Uwe Gropengießer and Julian Liphardt and Michael Matthé and Max Mühlhäuser},
booktitle = {ASE},
year = {2024},
doi = {10.1145/3691620.3695321}
}