Project Proposed Reducing accidents in roadways by using RSU Clouds in Support of the Internet of Vehicles Under Guidence of M.O.Ramkumar M.Tech., Senior assistant professor By Guru ragaventhiran N Sironmani P Dhivya S Dhivya Sureshkumar IFET College Of Engineering Villupuram,Tamilnadu.

 To reduce the accident and traffic in the roads we introduce a novel technique, RSU cloud consists of traditional and specialized RSUs employing software-defined networking (SDN) to dynamically instantiate, replicate, and/or migrate services Abstract

 We use the reconfiguration cost analysis to design and formulate an integer linear programming (ILP) problem to model our novel RSU cloud resource management (CRM). We begin by solving for the Pareto optimal frontier (POF) of non-dominated solutions

System architecture

 In SDN, there are two communication planes,  The Physical Data Plane  An Abstracted Control Plane SDN consists of  Open Flow-enabled switches  Controllers RSU Cloud Architecture

 An RSU microdatacenter, is a traditional RSU with additional hardware and software components that can offer virtualization and communication capabilities using SDN.  The software components on the computing device include the host operating system and a hypervisor.

 They Make An Integral Component For Vehicular Clouds And Its Applications.  For Minimizing Vm Migrations  Control Plane Overhead  Number Of Service Hosts  Infrastructure  Delay Advantages

 Control plane modifications  Over time and in face of dynamic loads, the configurations are selected as part of a POF, of non- dominated solutions Disadvantages

 Our novel contribution is the architecture of RSU CRM and RSU micro datacenter. We model the CRM as a multi objective optimization problem, for minimizing VM migrations, control plane overhead, number of service hosts, and infrastructure delay. Conclusion

 Our future work includes minimizing control plane modifications by improving the load- balancing technique. We will extend this work to leverage the resources available in the mobile OBUs. Furthermore, an experimental at-scale analysis of CRM will be conducted on NSF Global Environment for Network Innovations (GENI) test bed Future enhancement