Computation offloading is one of the key technologies in Mobile Edge Computing (MEC),
which makes up for the deficiencies of mobile devices in terms of storage resource …

综合考虑时延, 能耗和计算资源成本, 构建云边协同系统中的效用最大化问题,
并将其分解为计算资源分配, 上行功率分配和任务卸载策略三个子问题. 提出一种基于博弈论的 …

Low Earth Orbit (LEO) satellite edge computing system is becoming an emerging topic and
technology aiming to meet the ever-increasing computation requirements in extensive …

Task offloading and resource allocation are the major elements of edge computing. A
reasonable task offloading strategy and resource allocation scheme can reduce task …

Edge computing is considered a promising approach to provide cloud computing
capabilities at the edge of the network near to the users. However, the limited number of …

The freshness of system information has attracted extensive attention and has become one
of the most critical Quality of Service (QoS) indicators in industrial wireless sensor networks …

The number of individuals and groups of users offloading independent and inter-related
computational tasks to mobile edge computing (MEC) servers is rapidly increasing, thus …

Cloud Computing (CC) is powerful for the computation offloading of services, promoting the
implementation of various modern applications. Mobile Edge Computing (MEC) can provide …

Considering the delay, energy consumption and computing resource cost, the utility
maximization problem in collaborative cloud-edge system is constructed, and divided into …

为了提升多用户计算任务卸载时的系统效用, 提出了一种基于边云联合计算的多用户任务卸载
方案. 该方案在提升系统效用的同时, 考虑了边云资源的协同优化问题. 针对计算任务卸载模式的 …