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.
Abstract
 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
 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
RSU Cloud Architecture
 In SDN, there are two communication planes,
 The Physical Data Plane
 An Abstracted Control Plane
SDN consists of
 Open Flow-enabled switches
 Controllers
 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.
Advantages
 They Make An Integral Component For Vehicular
Clouds And Its Applications.
 For Minimizing Vm Migrations
 Control Plane Overhead
 Number Of Service Hosts
 Infrastructure
 Delay
Disadvantages
 Control plane modifications
 Over time and in face of dynamic loads, the
configurations are selected as part of a POF, of nondominated solutions
Conclusion
 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.
Future enhancement
 Our future work includes minimizing control
plane modifications by improving the loadbalancing 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