TSP-HVC: a novel task scheduling policy for heterogeneous vehicular cloud environment

Abstract

Vehicular communication becomes an advanced area of research to deliver services to the users like standardization, traffic management and road safety, infotainment and entertainment. Vehicles carry communication modules, computing facility, storage, Internet accessing capability and equipped with application specific sensors in the on-board unit. Recently, vehicular cloud computing is a technology that is embedded with vehicular networks to solve many vehicular networking issues and challenges like storage, computing, information gain, internet access, network, security, etc. In this paper, we consider the storage as a service (STaaS) issue in vehicular networks. The vehicles in the parking lots are used as a data center to store the information of the user. However, providing this service to the users requires a scheduling policy to give the storage service in a minimum time. Therefore, we develop a new scheduling policy, called TSP-HVC for STaaS in the vehicular cloud environment. The simulation results show that the proposed scheduling policy produces less makespan and high average resource utilization than the well-known min–min and max–min cloud scheduling policies.