Fast Adaptive Task Offloading in Edge Computing based on Meta Reinforcement Learning

1 code implementation • 5 Aug 2020 • Jin Wang, Jia Hu, Geyong Min, Albert Y. Zomaya, Nektarios Georgalas

Recently, many deep reinforcement learning (DRL) based methods have been proposed to learn offloading policies through interacting with the MEC environment that consists of UE, wireless channels, and MEC hosts.

Edge-computing Meta Reinforcement Learning +2

Routing-Led Placement of VNFs in Arbitrary Networks

no code implementations • 30 Jan 2020 • Joseph Billingsley, Ke Li, Wang Miao, Geyong Min, Nektarios Georgalas

The ever increasing demand for computing resources has led to the creation of hyperscale datacentres with tens of thousands of servers.