论文标题
雾系统计算算法：原理，算法和挑战
Algorithms for Computing in Fog Systems: principles, algorithms, and Challenges
论文作者
论文摘要
FOG计算是一种架构，用于分配更接近最终用户的计算，存储和内存等资源，以改善应用程序和服务部署。雾计算背后的想法是通过降低计算功率，网络带宽和延迟以及存储要求来改善云计算和物联网基础架构。本文概述了什么是雾计算，相关概念，算法，这些算法是为了改善雾计算基础架构以及存在的挑战。本文表明，使用雾计算来支持云和物联网系统有一个很大的优势。
Fog computing is an architecture that is used to distribute resources such as computing, storage, and memory closer to end-user to improve applications and service deployment. The idea behind fog computing is to improve cloud computing and IoT infrastructures by reducing compute power, network bandwidth, and latency as well as storage requirements. This paper presents an overview of what fog computing is, related concepts, algorithms that are present to improve fog computing infrastructure as well as challenges that exist. This paper shows that there is a great advantage of using fog computing to support cloud and IoT systems.
