Seismic Data Query Algorithm Based on Edge Computing

Edge computing can reduce the transmission pressure of wireless networks in earthquakes by pushing functionalities to network edges and avoiding data cloud servers. However, this also leads scattered storage content each edge server, increasing difficulty search. This paper investigates seismic query problem supported computing. We first design a lookup mechanism based on bloom filter, which quickly determine if there is information that we need particular server. Then, MEC-based formulated as an optimization whose goal minimize long-term average task delay with constraints capacity To complexity problem, further transform it Markov Decision Process defining state space, action space reward function. A novel DQN-based algorithm proposed solve effectively. Extensive simulation-based testing shows performances better when compared two state-of-the-art solutions.