An offload scheme for energy optimization in mobile edge computing systems

Abstract

Currently, edge computing technology has attracted a lot of research duc to its ability to provide distributed computing, optimize energy, and improve processing speeds for users. The advantages of approaching edge computing are the sharing of computational tasks between devices and access devices at the network edge to reduce backbone traffic and delay. An offloading solution for supported devices to compute part of a task locally instead of moving the whole calculations to the Mobile Edge Computing (MEC) device, which is the core of the approach to reduce latency and accelerate Processing. However, an optimal solution for multiple constrain problems belongs lo the NP-Hard class problem.