These days, the development of smart cities, specifically in location-aware, latency-sensitive, and security-crucial applications (such as emergency fire events, patient health monitoring, or real-time manufacturing) heavily depends on a more advance computing paradigms that can address these requirements. In this regard, fog computing, a robust cloud computing complement, plays a preponderant role by virtue of locating closer to the end-devices. Nonetheless, utilized approaches in smart cities are frequently cloud-based, which causes not only the security and time-sensitive services to suffer but also its flexibility and reliability to be restricted. So as to obviate the limitations of cloud and other related computing paradigms such as edge computing, this paper proposes a systematic literature review (SLR) for the state-of-the-art fog-based approaches in smart cities. Furthermore, according to the content of the reviewed researches, a taxonomy is proposed, falls into three classes, including service-based, resource-based, and application-based. This SLR also investigates the evaluation factors, used tools, evaluation methods, merits, and demerits of each class. Types of proposed algorithms in each class are mentioned as well. Above all else, by taking various perspectives into account, comprehensive and distinctive open issues and challenges are provided via classifying future trends and issues into practical sub-classes.
翻译:这些天,智能城市的发展,特别是在有位置意识的、对潜伏敏感的和安全至关重要的应用(如紧急火灾事件、病人健康监测、或实时制造等)方面,在很大程度上取决于更先进的计算模式,以满足这些要求。在这方面,雾计算、一个强大的云计算补充,由于更接近终端设备而发挥主要作用。然而,智能城市中使用的方法往往以云为基础,不仅给安全和时间敏感服务带来痛苦,而且限制其灵活性和可靠性。为了消除云和其他相关计算模式的局限性,例如边缘计算,本文件提议对智能城市中最先进的以雾为基础的方法进行系统的文献审查(SLR),此外,根据所审查的研究内容,提出了一种分类学,分为三类,包括基于服务、基于资源和应用的。SLR还调查了评估因素、使用的工具、评价方法、优点和缺点。为每个类别提出的各种开放的算法,通过每个类别和每个类别提出不同的算法,每个类别提出不同的算法,每个类别和每个类别提出不同的分类,每个类别提出不同的分类,每个类别提出不同的分类,每个类别提出不同的分类,每个类别提出不同的分类,每个类别提出不同的分类,每个类别提出不同的分类,每个类别提出不同的分类,每个类别提出不同的分类,每个类别和每个类别提出不同的分类,每个类别提出不同的分类,每个类别提出不同的分类,每个类别和每个类别提出不同的分类,每个类别提出不同的分类,每个类别都提出一个子。