This paper delves into the realm of Mobile Edge Computing, addressing the imperative need for efficient task handling. Our study introduces an innovative load balancing model enhanced by an intermediary node tasked with coordination functions. The core methodology incorporates dynamic load balancing coupled with the integration of the nearest neighbor model, providing a comprehensive solution to the complexities of task distribution in Mobile Edge Computing environments. To validate the effectiveness of our proposed approach, we conducted experiments utilizing a dataset comprising telephone data from the Shanghai area. The results of our implementation showcased substantial improvements in processing completion times compared to traditional techniques such as least connection, least time, and round-robin approaches. This substantiates the efficacy of our dynamic load balancing model with intermediate coordination node and nearest neighbor integration in optimizing task handling within the Mobile Edge Computing paradigm. Index Terms—Edge Computing, Load Balancing, Mobile Edge Computing, Dynamic Load Balancing, Nearest Neighbor.