论文标题
基于边缘计算环境的加密机制和资源分配优化
Encryption Mechanism And Resource Allocation Optimization Based On Edge Computing Environment
论文作者
论文摘要
提出了一种基于边缘计算环境优化加密机制和资源分配的方法。基于直方图算法的本地差分隐私算法用于在任务卸载过程中保护用户信息，该算法可以准确保存用户上下文信息，同时减少对播放决策的干扰。为了有效地卸载任务并提高卸载性能，提出了用于优化整体延迟的任务下载和资源分配的联合优化算法。隐私保护与任务卸载准确性之间的余额。上下文数据干扰对任务卸载决策的影响最小化，同时确保预定义的隐私保护水平。在混凝土连接的车辆示例中，该方法在路边设备和具有足够计算资源的相邻车辆之间分配任务。
A method for optimizing encryption mechanism and resource allocation based on edge computing environment is proposed. A local differential privacy algorithm based on a histogram algorithm is used to protect user information during task offloading, which allows accurate preservation of user contextual information while reducing interference with the playback decision. To efficiently offload tasks and improve offloading performance, a joint optimization algorithm for task offloading and resource allocation is proposed that optimizes overall latency. A balance will be found between privacy protection and task offloading accuracy. The impact of contextual data interference on task offloading decisions is minimized while ensuring a predefined level of privacy protection. In the concrete connected vehicle example, the method distributes tasks among roadside devices and neighboring vehicles with sufficient computational resources.
