The IoT is a novel platform for making objects more intelligent by connecting to the Internet. However, mass connections, big data processing, and huge power consumption restrict the development of IoT. In order to address these challenges, this article proposes a novel ECIoT architecture. To further enhance the system performance, radio resource and computational resource management in ECIoT are also investigated. According to the characteristics of the ECIoT, we mainly focus on admission control, computational resource allocation, and power control. To improve the performance of ECIoT, cross-layer dynamic stochastic network optimization is studied to maximize the system utility, based on the Lyapunov stochastic optimization approach. Evaluation results are provided which demonstrate that the proposed resource allocation scheme can improve throughput, reduce end-to-end delay, and also achieve an average throughput and delay trade-off. Finally, the future research topics of resource management in ECIoT are discussed.

中文翻译：

---

物联网边缘计算中的联合准入控制和资源分配

物联网是一个新颖的平台，可通过连接到互联网使对象变得更加智能。但是，大规模连接，大数据处理和巨大的功耗限制了物联网的发展。为了应对这些挑战，本文提出了一种新颖的ECIoT架构。为了进一步提高系统性能，还研究了ECIoT中的无线电资源和计算资源管理。根据ECIoT的特点，我们主要关注准入控制，计算资源分配和功率控制。为了提高ECIoT的性能，基于Lyapunov随机优化方法，研究了跨层动态随机网络优化以最大化系统实用性。提供的评估结果表明，提出的资源分配方案可以提高吞吐量，减少端到端延迟，并且还可以实现平均吞吐量和延迟权衡。最后，讨论了ECIoT中资源管理的未来研究主题。