Abstract

This tendency is now being accompanied by the growth of the Internet of Things and more intelligent connected gadgets. Thanks to cloud computing, which has also established itself as the industry standard for offering clients highly scalable, reasonably cost computing services, the utilization of apps has increased dramatically. IoT applications are expanding swiftly and becoming more and more integrated into our everyday lives, which have led to an abundance of IoT devices and the data they produce. Strict computational delay constraints are used to achieve acceptable performance since the majority of these applications are known to be time-sensitive. A new cloud paradigm called edge computing seeks to bring cloud-based services and utilities closer to end users. This next cloud platform, also known as edge clouds, seeks to lessen network stress on the cloud by using computing resources close to users and Internet of Things sensors. In an attempt to replicate cloud-like performance, the resultant architecture blends a variety of heterogeneous, resource-constrained, and unstable compute-capable devices.