Nkenyereye Lionel, Nkenyereye Lewis, Tama Bayu Adhi, Reddy Alavalapati Goutham, Song JaeSeung
Department of Computer and Information Security, Sejong University, Seoul 05006, Korea;
Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang 37673, Korea.
Sensors (Basel). 2020 Feb 17;20(4):1092. doi: 10.3390/s20041092.
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.
云计算支持许多前所未有的基于云的车辆应用。为了通过可编程网络架构提高连接性和带宽,引入了软件定义(SD)车辆网络(SDVN)。SDVN架构使车辆能够配备SDN OpenFlow交换机,其路由规则由SDN OpenFlow控制器更新。基于SDVN,引入了新的车辆架构,例如SD车辆云(SDVC)。在SDVC中,车辆是承载虚拟化技术的SDN设备,用于实现基于云的车辆应用的部署。此外,由于车辆的高度移动性,虚拟机(VM)在SDVC上的迁移对基于云的车辆应用的性能提出了挑战。然而,目前讨论SDVC中VM迁移的文献非常有限。在本文中,我们首先分析SDVC的计算和网络技术的发展,重点关注其在基于云的车辆环境中的架构。然后,我们讨论由SDVC辅助的潜在基于云的车辆应用及其管理多个VM迁移场景的能力。最后,我们对SDVC中集成VM迁移方法的现有框架以及用于评估VM框架用例的不同模拟器或仿真器网络进行了详细比较。