The Internet of Things (IoT) is a new prototype that connects a range of devices to the Internet through wireless and wired technologies. The processing of this data necessitates early processing, resource allocation, response, an increase in transmission latency, and performance concerns for IoT devices. Edge computing is a novel technology that has been developed to address these issues. Edge computing refers to information processing on a device, a local computer, or a server. The edge servers are located close to the user of IoT devices and serve as a link between the cloud and the user. This technology reduces data transfer delay and improves the device's speed performance. System execution, device utilization, memory management, and network bandwidth are all improved. Security, privacy, Internet walls, and cloud attacks are all-new concerns for IoT resource allocation. As a result, an IoT-specific resource allocation technique should be developed. Various technologies and techniques used in edge computing for resource allocation are explored in this overview. It primarily focuses on the dynamic allocation of various edge servers or devices, as well as the benefits and important difficulties encountered in this environment, simulated procedures, parameters, and future development.

Internet of Things (IoT), Edge Computing, Mobile Edge Computing, Cloud Computing, Resource Allocation