Multi-access Edge Computing (MEC) delivers low-latency services by hosting applications near end-users. To promote sustainability, these systems are increasingly integrated with renewable Energy Harvesting (EH) technologies, enabling operation where grid electricity is unavailable. However, balancing the intermittent nature of harvested energy with dynamic user demand presents a significant resource allocation challenge. This work proposes an online strategy for an MEC system powered exclusively by EH to address this trade-off. Our strategy dynamically schedules computational tasks with dependencies and governs energy consumption through real-time decisions on server frequency scaling and service module migration. Experiments using real-world datasets demonstrate our algorithm's effectiveness in efficiently utilizing harvested energy while maintaining low service latency.

翻译：多接入边缘计算（MEC）通过在靠近终端用户的位置托管应用程序来提供低延迟服务。为提升可持续性，这些系统正日益与可再生能源收集（EH）技术集成，使其能够在电网电力不可用的环境中运行。然而，如何平衡收集能量的间歇性与动态用户需求，构成了一个显著的资源分配挑战。本研究提出一种专为完全由EH供电的MEC系统设计的在线策略，以应对这一权衡问题。该策略通过实时决策服务器频率调节和服务模块迁移，动态调度具有依赖关系的计算任务并管理能耗。基于真实世界数据集的实验表明，我们的算法在高效利用收集能量的同时，能够维持较低的服务延迟。