Offloading high-demanding applications to the edge provides better quality of experience (QoE) for users with limited hardware devices. However, to maintain a competitive QoE, infrastructure, and service providers must adapt to users' different mobility patterns, which can be challenging, especially for location-based services (LBS). Another issue that needs to be tackled is the increasing demand for user privacy protection. With less (accurate) information regarding user location, preferences, and usage patterns, forecasting the performance of offloading mechanisms becomes even more challenging. This work discusses the impacts of users' privacy and mobility when offloading to the edge. Different privacy and mobility scenarios are simulated and discussed to shed light on the trade-offs (e.g., privacy protection at the cost of increased latency) among privacy protection, mobility, and offloading performance.

翻译：将高需求应用卸载至边缘可提升硬件受限用户的体验质量（QoE）。然而，为维持具有竞争力的QoE，基础设施与服务提供商必须适应用户多样化的移动模式，这对基于位置的服务（LBS）尤为困难。另一个亟待解决的问题是用户隐私保护需求的日益增长。在用户位置、偏好及使用模式信息（精确度）降低的情况下，预测卸载机制的性能将更具挑战性。本研究探讨了用户隐私与移动性对边缘卸载的影响，通过模拟不同隐私与移动性场景，揭示隐私保护、移动性与卸载性能之间的权衡关系（例如，以增加时延为代价的隐私保护）。