Abstract
Cloud computing supports many unprecedented cloud-based vehicular applications. To improve connectivity and bandwidth through programmable networking architectures, Software- Defined (SD) Vehicular Network (SDVN) is introduced. SDVN architecture enables vehicles to be equipped with SDN OpenFlow switch on which the routing rules are updated from a SDN OpenFlow controller. From SDVN, new vehicular architectures are introduced, for instance SD Vehicular Cloud (SDVC). In SDVC, vehicles are SDN devices that host virtualization technology for enabling deployment of cloud-based vehicular applications. In addition, the migration of Virtual Machines (VM) over SDVC challenges the performance of cloud-based vehicular applications due the highly mobility of vehicles. However, the current literature that discusses VM migration in SDVC is very limited. In this paper, we first analyze the evolution of computation and networking technologies of SDVC with a focus on its architecture within the cloud-based vehicular environment. Then, we discuss the potential cloud-based vehicular applications assisted by the SDVC along with its ability to manage several VM migration scenarios. Lastly, we provide a detailed comparison of existing frameworks in SDVC that integrate the VM migration approach and different emulators or simulators network used to evaluate VM frameworks’ use cases.
Highlights
Vehicular applications include safety, geo-advertising, and entertainment applications to make the vehicle’s passengers journey more enjoyable
We summarize our findings along with lessons learned collected from our study on the state-of-the art accomplishment of SD Vehicular Cloud (SDVC)-related cloud-vehicular applications and their Virtual Machines (VM)
Various VM migrations strategies have been proposed in vehicular cloud computing, the extensive investigation to evaluate the effectiveness of VM migration management of the SDVC remains an open issue
Summary
Geo-advertising, and entertainment applications to make the vehicle’s passengers journey more enjoyable. Individual levels of information providers and consumers mainly focus on resource management, loss of connectivity, and placement of SDN controller and their sub-SDN controller to enhance connectivity [9] None of these works discuss the migration of vehicle’s VM service in SDVC and its related applications. We investigate the SDN-based vehicular cloud architecture by providing an extensive discussion of its functional system components to control the VM migration approach, mobility prediction, and heterogeneity of wireless interfaces equipped in vehicles. We present the assistance of control layer to manage cloud-based vehicular applications on the basis of their ability to share computation, storage and bandwidth resources.
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