Recent advances in task offloading and resource allocation for mobile edge computing

Mobile Edge Computing (MEC) has emerged as a pivotal paradigm to meet the stringent demands of latency-sensitive and computation-intensive applications in the era of Internet of Things (IoT) and smart devices. By deploying computational resources at the network edge, MEC effectively alleviates the inherent limitations of terminal devices in processing power, energy, and storage. This paper presents a comprehensive survey of recent advances in task offloading and resource allocation strategies within MEC systems. We first outline the core challenges and then systematically review state-of-the-art optimization approaches. Our analysis shows that these methods are effective in addressing the dynamic and complex nature of MEC environments, enabling significant improvements in latency reduction, energy efficiency, and overall system performance.