Minseok Koo, Jaesung Park, Journal of Information Processing Systems Vol. 21, No. 1, pp. 63-70, Mar. 2025  

https://doi.org/10.3745/JIPS.03.0203
Keywords: DQN, Edge network, Edge Server Activation, Energy Efficiency, Service Delay
Fulltext: PDF Full Text PubReader

Abstract

Edge networks have emerged as a solution to provide high-speed and localized data processing by utilizing distributed computing models with numerous edge servers (ESs). However, the increasing deployment of ESs has significantly escalated energy consumption, raising critical concerns regarding operational costs, environmental sustainability, and economic efficiency. A dynamic network topology management approach has been proposed to address this issue by adaptively switching the operation mode of each ES according to load condition. Even though various methods have been proposed to address this issue, there is still room for performance improvement. To fill the performance gap, in this paper, we take a deep Q network-based approach and devise a novel ES activation control method that dynamically manages ES states, balancing energy efficiency and service quality through a specially designed reward function. Simulation results demonstrate the effectiveness of the proposed approach in reducing the amount of consumed energy while increasing the service quality across diverse scenarios, compared to existing methods.

Statistics
Cite this article