标题： CRAFT：边缘-雾环境中节点放置的延迟和成本感知的遗传框架 显示英文标题

标题： CRAFT: Latency and Cost-Aware Genetic-Based Framework for Node Placement in Edge-Fog Environments

摘要： 在物联网（IoT）中降低延迟是一个关键问题。 虽然云计算促进了通信，但它无法可靠地满足实时需求。 通过将计算节点更靠近终端用户，边缘计算和雾计算已成为可行的解决方案，提供了更低的延迟和更高的处理能力。 一个边缘-雾框架包括各种组件，包括边缘和雾节点，其战略部署至关重要，因为它直接影响延迟和系统成本。 本文提出了一种基于遗传算法的有效且可调节的节点部署策略，以解决边缘和雾节点部署的优化问题。 主要目标是通过最优节点部署来最小化延迟和成本。 仿真结果表明，所提出的框架可实现高达2.77%的延迟降低和31.15%的成本降低。 显示英文摘要

摘要： Reducing latency in the Internet of Things (IoT) is a critical concern. While cloud computing facilitates communication, it falls short of meeting real-time requirements reliably. Edge and fog computing have emerged as viable solutions by positioning computing nodes closer to end users, offering lower latency and increased processing power. An edge-fog framework comprises various components, including edge and fog nodes, whose strategic placement is crucial as it directly impacts latency and system cost. This paper presents an effective and tunable node placement strategy based on a genetic algorithm to address the optimization problem of deploying edge and fog nodes. The main objective is to minimize latency and cost through optimal node placement. Simulation results demonstrate that the proposed framework achieves up to 2.77% latency and 31.15% cost reduction.