Multi-Armed Bandit for Energy-Efficient and Delay-Sensitive Edge Computing in Dynamic Networks with Uncertainty

Understand

In the edge computing paradigm, mobile devices offload the computational tasks to an edge server by routing the required data over the wireless network.

• The full potential of edge computing becomes realized only if a smart device selects the most appropriate server in terms of the latency and energy consumption, among many available ones.
• The server selection problem is challenging due to the randomness of the environment and lack of prior information about the environment.
• Therefore, a smart device, which sequentially chooses a server under uncertainty, aims to improve its decision based on the historical time and energy consumption.