Edge computing as a promising technology provides lower latency, more efficient transmission, and faster speed of data processing since the edge servers are closer to the user devices. Each edge server with limited resources can offload latency-sensitive and computation-intensive tasks from nearby user devices. However, edge computing faces challenges such as resource allocation, energy consumption, security and privacy issues, etc. Auction mechanisms can well characterize bidirectional interactions between edge servers and user devices under the above constraints in edge computing. As demonstrated by the existing works, auction and mechanism design approaches are outstanding on achieving optimal allocation strategy while guaranteeing mutual satisfaction among edge servers and user devices, especially for scenarios with scarce resources. In this paper, we introduce a comprehensive survey of recent researches that apply auction approaches in edge computing. Firstly, a brief overview of edge computing including three common edge computing paradigms, i.e., cloudlet, fog computing and mobile edge computing, is presented. Then, we introduce fundamentals and backgrounds of auction schemes commonly used in edge computing systems. After then, a comprehensive survey of applications of auction-based approaches applied for edge computing is provided, which is categorized by different auction approaches. Finally, several open challenges and promising research directions are discussed.
翻译:由于边缘服务器更接近用户装置,边端服务器更接近用户装置,因此,边际计算可以提供更低的潜伏、更高效的传输和更快的数据处理速度。每个资源有限的边端服务器都可以卸载附近用户装置的悬浮敏感和计算密集型任务。然而,边际计算面临着资源分配、能源消耗、安全和隐私问题等挑战。拍卖机制可以很好地描述边缘服务器和用户装置在上述边端计算制约因素下双向互动的特点。正如现有工程、拍卖和机制设计方法所显示的那样,在实现最佳分配战略的同时保证边端服务器和用户装置之间相互满意度方面,特别是在资源稀缺的情况下,还有待采用更快速的方法。在本文件中,我们对最近应用边端计算拍卖办法的研究进行了全面调查。首先,对边际计算作了简要概述,包括三种共同的边际计算模式,即云、雾计算和移动边缘计算。然后,我们介绍了边端计算系统常用的拍卖办法的基本原理和背景。随后,对边端计算方法应用拍卖办法的应用情况进行了全面调查,通过不同的拍卖办法加以分类。最后,对若干开放的研究方向和有希望的方向进行了讨论。