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20212024
most citedDeep Reinforcement Learning-based Scheduling for Optimizing System Load and Response Time in Edge and Fog Computing Environments

2 citations · 2 across the 3 of their papers we have counts for

collaborators

2 papers

cs.DC2023★ 2 cited

Deep Reinforcement Learning-based Scheduling for Optimizing System Load and Response Time in Edge and Fog Computing Environments

Zhiyu Wang, Mohammad Goudarzi, Mingming Gong +1

Edge/fog computing, as a distributed computing paradigm, satisfies the low-latency requirements of ever-increasing number of IoT applications and has become the mainstream computin…

cs.DC2021

Integration of FogBus2 Framework with Container Orchestration Tools in Cloud and Edge Computing Environments

Zhiyu Wang, Rajkumar Buyya

Currently, due to the advantages of light weight, simple deployment, multi-environment support, short startup time, scalability, and easy migration, container technology has been w…