Energy Efficient Dynamic Task Offloading for Blockchain-enabled Virtual Wireless Networks

Abstract

The application of the blockchain technology in various fields has continued to grow exponentially. Besides, task offloading schemes are essential in the lessening of the quantity of consumed energy. These schemes are also needed for workload rate of systems during the transfer of tasks to the execution phase in the cloud or edge. Based on the need for a dynamic task offloading and allocation of resources for virtual wireless networks (VWNs), we have proposed an energy efficient dynamic task offloading scheme in VWNs that leverages the blockchain technology. The proposed approach chooses the online optimal computing place either on the mobile cloud computing (MCC) server or the mobile edge computing (MEC) server with the goal of reducing task response time and energy consumption. Communication and computation costs incurred by different kinds of applications are controlled by the Lyapunov optimization technique. Computing location for each task is chosen adaptively during the optimization without requiring extensive system information. Energy efficient approach achieves better offloading decisions with lower computational complexity as compared with traditional offloading techniques.