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Edge computing has emerged as a promising paradigm for addressing the challenges of latency, bandwidth, and energy consumption in the era of big data and the intelligent Internet of Things. However, the limited computing resources of edge devices and their vulnerability to failures pose significant challenges to the reliability and availability of edge computing systems. To this end, we propose a novel architecture for reliable edge computing that leverages the collective computing power of mobile edge devices in this article. Our architecture employs a task-oriented triple-stage monitoring mechanism to ensure system reliability. Moreover, we present a shared computing framework that allows edge devices to dynamically share their computing resources based on the current availability and workload. We evaluate the effectiveness of the proposed architecture with several computational tasks, including  …