7 citations · 19 across the 13 of their papers we have counts for
4 papers · 1 filter
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…
μ-DDRL: A QoS-Aware Distributed Deep Reinforcement Learning Technique for Service Offloading in Fog computing Environments
Mohammad Goudarzi, Maria A. Rodriguez, Majid Sarvi +1
Fog and Edge computing extend cloud services to the proximity of end users, allowing many Internet of Things (IoT) use cases, particularly latency-critical applications. Smart devi…
FLight: A Lightweight Federated Learning Framework in Edge and Fog Computing
Wuji Zhu, Mohammad Goudarzi, Rajkumar Buyya
The number of Internet of Things (IoT) applications, especially latency-sensitive ones, have been significantly increased. So, Cloud computing, as one of the main enablers of the I…
Quality of Service (QoS)-driven Edge Computing and Smart Hospitals: A Vision, Architectural Elements, and Future Directions
Rajkumar Buyya, Satish N. Srirama, Redowan Mahmud +3
The Internet of Things (IoT) paradigm is drastically changing our world by making everyday objects an integral part of the Internet. This transformation is increasingly being adopt…