Fog Computing is a new paradigm which is meant to solve some new challenges in IoT like a wide-spread geographical distribution and mobility of the devices, multiple nodes, heterogeneity of the hardware capabil
This review explores the crucial role of fog computing in addressing the increasing demands of the Internet of Things (IoT) and cloud environments, focusing on its ability to reduce latency, manage large data volumes, and optimize bandwidth by bringing computational resources closer to data sources....
Fog ComputingSecurityPrivacy ChallengesCloud ComputingIn this article, the various security threats faced by the different layers of hierarchy and the methods of security that can be adopted are mentioned. Not onlyAbraham, Westby K.Saravanan, Srinivasan...
Purpose Fog computing is a new field of research and has emerged as a complement to the cloud which can mitigate the problems inherent to the cloud computing model such as unreliable latency, bandwidth constraints, security and mobility. This paper aims to provide detailed survey in the field ...
Fog computingFog-computing securityCloud computingCloud-computing securityFog-computing taxonomyEdge computingFog computing is a new paradigm of computing that extends cloud-computing operations to the edges of the network. The fog-computing services provide location sensitivity, reduced latency,......
This cloud-centric IoT model, resulted in increased latencies and network load, and compromised privacy. To address these problems, Fog Computing was coined by Cisco in 2012, a decade ago, which utilizes proximal computational resources for processing the sensor data. Ever since its proposal, fog...
It outlines various attack vectors, examines the design, traits, and vulnerabilities of fog nodes, and addresses mitigating these risks with countermeasures. This paper attempts to identify important security issues in fog computing and suggest future strategies for resolving these issues to ensure safe...
Fog computing extends Cloud-based facilities and stays in the vicinity of the end-users to provide an attractive solution to a diverse range of latency-sensitive applications. The applications are becoming more sophisticated, context-aware, and computation-intensive due to varying situational and ...
The biggest challenge of task scheduling in Fog computing is to satisfy users' dynamic requirements in real‐time with Fog nodes' limited resource capacities. Fog nodes' heterogeneity and an obligation to complete tasks by the deadline while minimizing cost and energy consumption makes the scheduling...
Fog computing function as a middle layer in-between sensors and IoT that brings computation, storage and network functionality of cloud. This paper presents a comprehensive analysis and challenges in fog computing and provides a taxonomy of these challenges and properties with their research challenges...