Offloading and Routing Strategies Experimental Results

IEEE2020-04-06 更新2026-04-17 收录

视频监控网络优化

边缘计算卸载优化

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This file contains the experimental results for the research paper Optimization-Based Offloading and Routing Strategies for Sensor-Enabled Video Surveillance Networks. Just open the excel file! then you can view the data.

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2020-04-06

开源开放基础平台计算卸载优化数据集

云机器人

边缘计算卸载优化

为解决机器人执行计算密集型任务时，由于硬件设备受限导致的执行效率变差问题。本数据集记录了云机器人平台在为机器人的计算任务提供卸载服务过程中所需的镜像文件和前端界面代码，并保存了服务卸载前后任务计算时长的差异量化指标。数据集以机器人图像识别训练任务为基础，包含存放机器人执行训练任务后生成的模型文件的容器镜像文件，以及实现计算卸载时的日志数据。数据量1.5GB。

国家基础学科公共科学数据中心220

Supplementary information for Hierarchical game-theoretic and reinforcement learning framework for computational offloading in UAV-enabled mobile edge computing networks with multiple service providers

边缘计算卸载优化

博弈论强化学习

Article abstractWe present a novel game-theoretic (GT) and reinforcement learning (RL) framework for computational offloading in the mobile edge computing (MEC) network operated by multiple service pr

DataCite Commons2024-10-11 更新60

S21 Data -

移动边缘计算

边缘计算卸载优化

With the increasing demand for mobile computing, the requirement for intelligent resource management has also increased. Cloud computing lessens the energy consumption of user equipment, but it increa

Figshare2024-12-12 更新30

Intelligent End-Edge Computation Offloading Based on Lyapunov-Guided Deep Reinforcement Learning

边缘计算卸载优化

深度学习优化

本文提出了一种基于 Lyapunov 优化和深度强化学习的智能计算卸载算法，旨在设计一种在线算法，使网络计算速率最大化，同时平衡卸载时间、CPU 频率和数据队列稳定性等约束。

Figshare2024-09-27 更新70

Simulation parameter setting.

计算任务调度

边缘计算卸载优化

The exponential growth of the Internet of Things and mobile edge computing has intensified the need for substantial data processing and instantaneous response. Consequently, collaboration between the

NIAID Data Ecosystem30

Offloading and Routing Strategies Experimental Results

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