Fog Computing Qos Review and Open Challenges

Abstract

Internet of Things (IoT) enables inters connectivity among devices and platforms. IoT devices such as sensors, or embedded systems offer computational, storage, and networking resources and the existence of these resources permits to move the execution of IoT applications to the edge of the network and it is known as fog computing. It is able to handle billions of Internet-connected devices and is well situated for real-time big data analytics and provides advantages in advertising and personal computing. The main issues in fog computing includes fog networking, QoS, interfacing and programming model, computation offloading, accounting, billing and monitoring, provisioning and resource management, security and privacy. A particular research challenge is the Quality of Service metric for fog services. Thus, this paper gives a survey of cloud computing, discusses the QoS metrics, and the future research directions in fog computing.

Fog computing: A taxonomy, systematic review, current trends and research challenges

“…Additionally, both fault tolerance and privacy are taken into account of the framework with optimization methods and potential solutions. Babu et al [38] The main emphasis was on this paper to provide an overview of fog computing, discuss QoS metrics, and future directions for research. Naha et al [39] The main goal of the survey was to assist industry and the research community in integrating and meeting the essential requirements of fog computing.…”