RESOURCE MANAGEMENT AND ALLOCATION IN FOG COMPUTING

Abstract

Smart objects are increasingly playing a crucial role in the daily operations of both industries and individuals. These devices collect data through various apps and sensors, leading to a significant accumulation of information across various sectors. The use of smart objects has grown exponentially with the advent of the Internet of Things (IoT). This has led to a significant increase in the amount of data being generated, including both structured and unstructured data. However, there are currently no effective ways to manage this data. Despite the significant advancements made in the field of IoT, incorporating cloud computing is still facing challenges such as latency, performance, network and security concerns of computing can address the challenges faced by cloud computing in the context of the Internet of Things (IoT) by bringing the cloud closer to the edge. The primary objective of fog computing is to process and store data collected by IoT devices locally on a fog node, rather than transmitting it to a remote cloud server. This approach results in faster response times and better quality of services compared to cloud computing. Fog computing is an effective solution to enable the IoT to provide reliable and secure services to a large number of IoT customers. Fog computing allows for the management of service and resource provisioning from outside of cloud computing, closer to devices, at the edge networks, or at locations specified by Service Level Agreements (SLAs). It is not intended to replace cloud computing, but rather to enhance it by enabling computation at the edge while still providing access to cloud data centers. It covers various computing frameworks, fog computing features, a comprehensive reference architectural style of fog with its multiple levels, a comprehensive study of fog with IoT, various fog system methodologies, and a thorough evaluation of the challenges in fog computing, which also serves as a middle layer between IoT sensors or devices and cloud data centers.