Edge technology moves stowage, processing, plus communication amenities from the remote repository to the edge networks, leading to reduced delay and immediate access. When it comes to performance, the confluence of edge technology and IoT with compute unloading provides a viable alternative. Calculation unloading conserves energy, decreases time complexity, and improves the battery life of resource constrained IoT gadgets, among other benefits. Whenever a significant number of IoT gadgets approach the periphery for compute unloading operations, unfortunately, edge computing confronts a scaling difficulty. To solve the scalability problem in edge technology, this article proposes two alternatives: EEFI (energy-efficient framework for the IoT) as well as EERC (energy-efficient recursive clustering) algorithm that prioritizes jobs based on weight.