Jun 21, 2024 · Server load levels affect the performance of cloud task execution, which is rooted in the impact of server performance on cloud task ...
Jun 21, 2024 · This method introduces a real-time performance-aware strategy and adds status information about the real-time impact of task load on server ...
Experimental results indicate that the SRP-DRL method has better overall performance regarding task average response time, success rate, and server average load ...
Bibliographic details on Deep reinforcement learning task scheduling method based on server real-time performance.
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This article presents a real-time performance-aware strategy for task scheduling on cloud servers. Based on real-time server performance, a proposed distributed ...
Oct 22, 2024 · In this paper, we propose a novel task scheduling and load balancing method based on optimized deep reinforcement learning in HCE. First, we ...
Sep 14, 2024 · We investigate the control system's computational task scheduling problem within limited time and with limited CPU cores in the cloud server.
A Deep Q-learning network model is used to addressed the mentioned scheduling problem that search the optimal resource for the tasks and it is evident that ...
Nov 21, 2024 · The users operate the clients to submit task requests to the Cloud center through the high-speed networks; The Cloud center collects tasks, ...
Nov 5, 2024 · This paper proposes an advanced fog-cloud integration approach utilizing a deep reinforcement learning-based task scheduler, DRLMOTS.