Fault Tolerance in Vehicular Cloud Networks: Link Failure and Malicious Node Detection and Reconfiguration

Abstract

Vehicular cloud networks (VCNs) are becoming more popular these days due to their applicability in multifarious applications across the globe. The VCNs are alternative application of the cloud computing domain that is an arrangement of the cloud as well as Vehicular Ad Hoc Networks (VANET) technologies. Primarily, the VCNs are made of diverse clouds namely the infrastructure cloud, conventional information technology (IT) cloud, and vehicular cloud. Failure of link and malicious node detection are becoming a major issue nowadays due to the increasing traffic across the globe. Some of the major problems with VANET are routing, security, and privacy that demands more attention and pragmatic solutions in order to minimize the chances of accidental situations on the road. In this paper, a novel model is proposed in order to resolve the existing issues related to the fault tolerance in the VCNs, i.e., link failure and malicious node detection and reconfiguration. This test was performed on the CloudSim simulator on a personal computer having 64-bit operating system and 8 GB (RAM). The results are observed with a high degree of precision and compared with Heterogeneous Earliest Finish Time (HEFT) algorithm in order to validate the proposed model. Although, there has been carried out extensive examination in this sector during the last decade, but there is a pragmatic scope of more research in order to explore the full potential of this domain.