The article presents a method to predict data processing trends in edge computing efficiently. By using a technique called MDP, the method helps user devices choose the best edge for processing data based on edge performance and trends. This approach allows for effective offloading of tasks to edges, considering both data trends and edge performance. The key finding is that this method can distribute traffic in edges and select them efficiently, leading to better offloading compared to existing methods.