The mobile edge computing (MEC) technology sinks the computing and storage resources to the network edge and reaches the goal of improving user service quality by formulating reasonable task offloading strategies. As the number of edge users increases, the energy consumption and energy cost of the ...
energy, and resource usage cost while offloading tasks in a CoMEC network. A task offloading framework based on greyWOLf optimization that exploitsVERtical collaborationINEdge computing, namelyWOLVERINEsystem is devised to solve the problem. The WOLVERINE stands out from other task-offloading frameworks ...
With the fast development trend of Internet of Things (IoTs), the demand for User Terminals (UTs) such as smartphones, unmanned aerial vehicles, and wearable devices is increasing dramatically. However, UTs are constrained by limited resources, such as CPU computing power, storage space, energy ...
1)我们将每个用户的卸载效用建模为任务完成时间改进和设备能耗改进的加权和;我们将联合任务卸载与资源分配(JTORA)问题表述为一个混合整数非线性规划(MINLP),共同优化任务卸载决策、用户上行传输功率以及在MEC服务器上对卸载用户的计算资源分配,从而使系统的卸载效用最大化。 2)虽然JTORA问题非常具有挑战性,但我们建议将...
mobile edge computing (MEC) Markov decision process (MDP) Deep Reinforcement Learning (DRL) Intelligent Task Offloading Scheme (INTO) 协作移动边缘计算是一种新兴的范式,允许分布式的MEC节点之间进行协同任务卸载,平衡计算负载。实际问题中,工作负载和无线网络的情况高度动态,使在MEC中进行高效的计算卸载具有一定困...
and cost as deployment objectives, network reliability is also incorporated. Furthermore, to promote equitable usage of edge servers, load balancing is introduced as a fourth task offloading objective, in addition to latency, energy consumption, and cost. Additionally, this paper designs a MT-HD-MO...
The combination of edge and cloud computing will make task execution faster, cheaper, and more stable. This special issue is devoted to state-of-the-art research covering concepts of task offloading technologies for IoT applications. It is of great significance to the rapid promotion of ...
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Again assuming that any task is not divided into different parts so all the tasks should be offloaded directly either by the locally or by the offloading computing directly. So the offloading decision can be expressed in a binary variable αn∈(0,1). Meaningfully, when αn=0 identifies ...
DRL-based task offloading scheme 如何评估结果? 根据考虑dependency与否来对比。 result HEFT-based Round-Robin (RR):DAG 的任务交替调度到本地处理器和 MEC 主机。 A3C 该算法采用异步训练的思想,依靠多线程来提高训练速度。 每个线程由一个代理随机探索,多个代理并行计算策略梯度和更新参数。 在 CECSA3C 算法...