:Mobile Edge Computing (MEC) is a promising paradigm that brings computation, storage, and networking capabilities closer to mobile users by deploying edge servers at the network edge. Ensuring Quality of Service (QoS) in MEC environments is crucial to provide satisfactory user experiences. However, existing QoS monitoring approaches often overlook the dynamic mobility patterns of mobile devices and the interdependencies among multiple services running on the same device.This paper presents an exploration of future research directions in mobility and dependence-aware QoS monitoring in MEC. We propose several areas where advancements can be made to improve QoS monitoring effectiveness and optimize resource allocation. Firstly, advanced mobility management techniques can be developed to consider the dynamic movement patterns of mobile devices, enabling proactive handover mechanisms and context-aware mobility decision-making algorithms. Secondly, dependence-aware QoS metrics should be designed to capture the interactions and interdependencies among multiple services or applications running on a single mobile device.