论文标题
物联网的绿色移动边缘计算：挑战，解决方案和未来方向
Green-aware Mobile Edge Computing for IoT: Challenges, Solutions and Future Directions
论文作者
论文摘要
物联网（IoT）技术的开发使连接的智能设备和移动应用程序的快速增长。但是，由于资源的限制和电池容量有限，使用智能设备时会有瓶颈。移动边缘计算（MEC）提供了一个有吸引力的范式来应对这一挑战。在这项工作中，我们专注于MEC的物联网应用程序，并通过在云和边缘之间的下载工作负载来处理节能目标。在这方面，我们首先确定了MEC中与能源相关的挑战。然后，我们为MEC提出了一个绿色感知框架，以应对与能源相关的挑战，并为绿色MEC提供通用的模型公式。我们还讨论了一些最先进的工作量卸载方法，以实现绿色物联网并以全面的观点进行比较。最后，给出了一些与MEC能源效率有关的未来研究方向。
The development of Internet of Things (IoT) technology enables the rapid growth of connected smart devices and mobile applications. However, due to the constrained resources and limited battery capacity, there are bottlenecks when utilizing the smart devices. Mobile edge computing (MEC) offers an attractive paradigm to handle this challenge. In this work, we concentrate on the MEC application for IoT and deal with the energy saving objective via offloading workloads between cloud and edge. In this regard, we firstly identify the energy-related challenges in MEC. Then we present a green-aware framework for MEC to address the energy-related challenges, and provide a generic model formulation for the green MEC. We also discuss some state-of-the-art workloads offloading approaches to achieve green IoT and compare them in comprehensive perspectives. Finally, some future research directions related to energy efficiency in MEC are given.
