Terms: peer offloading:将任务或数据在分布式系统的各同级节点之间转移 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...
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...
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The emergence of mobile edge computing (MEC) has brought cloud services to nearby edge servers facilitating penetration of real-time and resource-consuming applications from smart mobile devices at a high rate. The problem of task offloading from mobile devices to the edge servers has been addressed...
A preference-based task offloading framework in mobile edge computing with a device-to-device offloading (MECD2D) system has been proposed to fulfill the latency demands of such applications for minimum energy consumption ensuring resiliency. The problem is formulated as a constraint-based non-linear...
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 collaboration between Mobile Cloud Computing (MCC) and Mobile Edge Computing (MEC). With the continuous development...
(MDs), it is a challenge to perform compute-intensive DNN tasks on MDs. To attack this challenge, mobile edge computing (MEC) provides a viable solution through DNN partitioning and task offloading. However, as the communication conditions between different devices change over time, DNN ...
The DTOE-AOF has several primary objectives, one of which is to address several significant gaps in the state of the art of edge computing. In dynamic environments, conventional approaches, such as heuristic methods and static task offloading, usually perform suboptimally due to their lack of fl...
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 ...
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...