Deep Reinforcement Learning-Based Workload Scheduling for Edge Computing

Overview of attention for article published in Journal of Cloud Computing, January 2022

Altmetric Badge

About this Attention Score

Above-average Attention Score compared to outputs of the same age (53rd percentile)

Mentioned by

twitter: 2 X users

Citations

dimensions_citation: 40 Dimensions

Readers on

mendeley: 59 Mendeley

Summary X Dimensions citations

So far, Dimensions has found 40 publications that cite this research output.

40

The most recent citing publications are shown below. View all 40 publications that cite this research output on Dimensions.

An ML‐based task clustering and placement using hybrid Jaya‐gray wolf optimization in fog‐cloud ecosystem

Article in Concurrency and Computation Practice and Experience (April 2024)

Telemetry-aided cooperative multi-agent online reinforcement learning for DAG task scheduling in computing power networks

Article in Simulation Modelling Practice and Theory (April 2024)

An artificial intelligence strategy for the deployment of future microservice-based applications in 6G networks

Article in Neural Computing and Applications (March 2024)