Quality of Service-Based Resource Management in Fog Computing

Abstract

In recent years, the emergence of the internet of things (IoT) has accelerated the quality of day-to-day tasks. With the rapid development of IoT devices, the cloud computing paradigm has become an attractive solution by facilitating on-demand services. However, the remote location of third-party cloud reduces the overall user experience while increasing the latency involved. Fog computing has been introduced as a promising solution by improving the overall service quality. Fog computing comprises distributed and heterogeneous fog nodes with limited resource capabilities. Therefore, managing fog resources while satisfying users' service quality is a challenging task. This study attempts to conduct a systematic review by examining high-quality research papers published between 2018 and April 2022. This paper aims to address current trends, challenges, and theoretical gaps with a wide range of open issues to guide the researchers and practitioners interested in carrying out the further research in the current domain.

Energy‐aware resource management in fog computing for IoT applications: A review, taxonomy, and future directions

“…These servers are faster at executing IoT device requests and have less delay in processing requests, and thus this technology is beneficial for tasks that are sensitive to delay. 6,7 Fog Computing differs from other computational methods due to the following features 4 :…”

“…The required time to complete workloads and minimizing runtime can improve system QoS. In Equation (6), T i represents the execution time of a module in ith Fog device. 14…”

“…Fog servers are usually located in a geographical area close to users. These servers are faster at executing IoT device requests and have less delay in processing requests, and thus this technology is beneficial for tasks that are sensitive to delay 6,7 . Fog Computing differs from other computational methods due to the following features 4 : The fog structure is an intermediate layer between IoT devices and cloud resources that manages requests at the network's edge. Fog nodes (FNs) reduce providers' operating costs and save energy in cloud data centers since they are not expensive. Compared to cloud‐centric, services and applications are widely distributed in one geographic area. Fog Computing nodes are typically cheaper than cloud computing nodes, reducing providers' operating costs and saving money. FNs are more concentrated than cloud nodes.…”