Abstract

Online video games are executed on edge devices that are limited in power, battery, and computation constraints. So, it is necessary to offload the tasks of these games to some other devices as the games cannot bear latency. Offloading a task to the cloud is the default choice but increases the latency and cost. To overcome these factors, a system based on the heuristic algorithm and fuzzy logic (FL) methodology is proposed for resource measurement at an edge node which offloads the tasks of games to other available edge devices in the edge network. A FL system will estimate parameters like battery, power, and memory of the device and generates the output showing whether to offload or keep the game on the device, the heuristic algorithm will find the best device for offloading by comparing the parameters of the available devices. Based on current research, the proposed system is applicable and it can be a remarkable addition to the research community and industry in the era of IoT games executing in an edge computing environment.