Task Scheduling with Optimized Transmission Time in Collaborative Cloud-Edge Learning. Abstract: Deep learning has been applied in many recent advanced ...
in Collaborative Cloud-Edge Learning. Yutao Huang1 ... In Section III we propose an offline edge learning task scheduling problem. ... Besides the edge learning ...
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Mar 29, 2019 · PDF | On Jul 1, 2018, Yutao Huang and others published Task Scheduling with Optimized Transmission Time in Collaborative Cloud-Edge Learning ...
Apr 5, 2024 · To achieve this objective, factors including delayed task calculation, the transmission delay of intermediate data, and the resource utilization ...
In a scheduling problem solved by reinforcement learning (RL), the system state information only reflected by the current step is incomplete, and the agent ...
Apr 8, 2024 · This method first analyzes the factors affecting the segmentation point of the model and then obtains accurate factors that affect the ...
Subsequently, we transform the edge nodes inside the cluster into a bipartite graph, and then propose a task scheduling algorithm based on maximum matching ( ...
To solve this problem, this paper studies task scheduling and resource collaboration based on a Cloud-Edge-Terminal collaborative architecture, proposes a ...
Finally, the transmission time between edge and cloud servers is exponentially distributed. The execution time of each server is also exponentially distributed.
Jan 18, 2022 · This section presents the proposed hybrid heuristic method, called TSSLA (Three-Stage scheduling optimizing SLA), to address the task scheduling ...