论文标题
在下一代无线网络中使用多层计算资源的任务卸载
Task Offloading with Multi-Tier Computing Resources in Next Generation Wireless Networks
论文作者
论文摘要
随着下一代无线网络的开发，物联网（IoT）正在发展朝着智能物联网（IIOT）发展，在该物联网（IIT）中，智能应用程序通常具有严格的延迟和抖动要求。为了为新兴IIT中的异质用户提供低延迟服务，通过有效地结合边缘计算和雾计算，提出了多层计算。更具体地说，多层计算系统通过任务卸载和将计算任务分散到从云到事物的连续体沿多层节点来补偿云计算。在本文中，我们研究了无线通信和资源分配方法的关键技术和方向，以使任务在多层计算系统中卸载。详细介绍了具有其主要功能和优化方法的多层计算模型。我们希望本文将成为多层计算对下一代无线网络的理论，算法和系统机会的宝贵参考和指南。
With the development of next-generation wireless networks, the Internet of Things (IoT) is evolving towards the intelligent IoT (iIoT), where intelligent applications usually have stringent delay and jitter requirements. In order to provide low-latency services to heterogeneous users in the emerging iIoT, multi-tier computing was proposed by effectively combining edge computing and fog computing. More specifically, multi-tier computing systems compensate for cloud computing through task offloading and dispersing computing tasks to multi-tier nodes along the continuum from the cloud to things. In this paper, we investigate key techniques and directions for wireless communications and resource allocation approaches to enable task offloading in multi-tier computing systems. A multi-tier computing model, with its main functionality and optimization methods, is presented in details. We hope that this paper will serve as a valuable reference and guide to the theoretical, algorithmic, and systematic opportunities of multi-tier computing towards next-generation wireless networks.
