SlideShare a Scribd company logo
1 of 4
Download to read offline
Software Defined Networking for RSU Clouds in support of The
Internet of Vehicles
Abstract:
We propose a novel Roadside Unit (RSU) Cloud, a Vehicular Cloud, as the
operational backbone of the Vehicle Grid in the Internet of Vehicles (IoV).
The architecture of the proposed RSU Cloud consists of traditional and
specialized RSUs employing Software Defined Networking (SDN) to
dynamically instantiate, replicate and, or migrate services. We leverage the
deep programmability of SDN to dynamically reconfigure the services
hosted in the network and their data forwarding information to efficiently
serve the underlying demand from the Vehicle Grid. We then present a
detailed reconfiguration overhead analysis to reduce reconfigurations,
which are costly for service providers. 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 of non-dominated
solutions (POF), such that, each solution is a configuration that minimizes
either the number of service instances or the RSU Cloud infrastructure
delay, for a given average demand. Then, we design an efficient heuristic
to minimize the reconfiguration costs. A fundamental contribution of our
heuristic approach is the use of reinforcement learning to select
configurations that minimize reconfiguration costs in the network over the
long term. We perform reconfiguration cost analysis and compare the
results of our CRM formulation and heuristic. We also show the reduction
in reconfiguration costs when using reinforcement learning in comparison
to a myopic approach. We show significant improvement in the
reconfigurations costs and infrastructure delay when compared to purist
service installations.
Existing System:
The Vehicular Cloud resides on top of the Vehicle Grid and is the backbone
for its operations. The Vehicle Grid is essentially a Vehicular Ad hoc
Network (VANET) of On-Board Units (OBUs) in vehicles and Roadside
Units (RSUs) in the fixed road infrastructure. Vehicle OBUs comprise of
localization systems (for example, Global Positioning System, Inertial
Measurement Unit, etc.), processing units, sensors and radio transceivers,
mounted in and around the vehicle. Roadside units are sensors and
microcontrollers installed alongside and in the road, for example cameras
in traffic lights and road signs and pressure sensors and traffic light
actuators on the road. The IEEE standards and protocols for Wireless
Access in Vehicular Environments (WAVE) define the inter-networking for
vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I)
communications.
Proposed System:
We propose a novel Vehicular Cloud architecture called RSU Cloud, which
consists of traditional RSUs and specialized micro-scale datacenters. The
RSU Cloud hosts services to meet frequently changing demands from the
Vehicle Grid. The novelty of our RSU Cloud architecture lies in benefiting
from the flexibility and deep programmability offered in Software Defined
Networking (SDN). In SDN, there are two communication planes, the
physical data plane and an abstracted control plane. This decoupling of
control and data planes enables the flexibility and programmability of the
SDN. In the RSU Clouds, virtualization via virtual machines and SDN is
employed to dynamically instantiate, migrate, and/or replicate services and
dynamically reconfigure data forwarding rules in the network to meet the
frequently changing service demands.
Hardware Requirements:
• System : Pentium IV 2.4 GHz.
• Hard Disk : 40 GB.
• Floppy Drive : 1.44 Mb.
• Monitor : 15 VGA Colour.
• Mouse : Logitech.
• RAM : 256 Mb.
Software Requirements:
• Operating system : - Windows XP.
• Front End : - JSP
• Back End : - SQL Server
Software Requirements:
• Operating system : - Windows XP.
• Front End : - .Net
• Back End : - SQL Server

More Related Content

More from ieeepondy

Resource and instance hour minimization for deadline constrained dag applicat...
Resource and instance hour minimization for deadline constrained dag applicat...Resource and instance hour minimization for deadline constrained dag applicat...
Resource and instance hour minimization for deadline constrained dag applicat...ieeepondy
 
Reliable and confidential cloud storage with efficient data forwarding functi...
Reliable and confidential cloud storage with efficient data forwarding functi...Reliable and confidential cloud storage with efficient data forwarding functi...
Reliable and confidential cloud storage with efficient data forwarding functi...ieeepondy
 
Rebuttal to “comments on ‘control cloud data access privilege and anonymity w...
Rebuttal to “comments on ‘control cloud data access privilege and anonymity w...Rebuttal to “comments on ‘control cloud data access privilege and anonymity w...
Rebuttal to “comments on ‘control cloud data access privilege and anonymity w...ieeepondy
 
Scalable cloud–sensor architecture for the internet of things
Scalable cloud–sensor architecture for the internet of thingsScalable cloud–sensor architecture for the internet of things
Scalable cloud–sensor architecture for the internet of thingsieeepondy
 
Scalable algorithms for nearest neighbor joins on big trajectory data
Scalable algorithms for nearest neighbor joins on big trajectory dataScalable algorithms for nearest neighbor joins on big trajectory data
Scalable algorithms for nearest neighbor joins on big trajectory dataieeepondy
 
Robust workload and energy management for sustainable data centers
Robust workload and energy management for sustainable data centersRobust workload and energy management for sustainable data centers
Robust workload and energy management for sustainable data centersieeepondy
 
Privacy preserving deep computation model on cloud for big data feature learning
Privacy preserving deep computation model on cloud for big data feature learningPrivacy preserving deep computation model on cloud for big data feature learning
Privacy preserving deep computation model on cloud for big data feature learningieeepondy
 
Pricing the cloud ieee projects, ieee projects chennai, ieee projects 2016,ie...
Pricing the cloud ieee projects, ieee projects chennai, ieee projects 2016,ie...Pricing the cloud ieee projects, ieee projects chennai, ieee projects 2016,ie...
Pricing the cloud ieee projects, ieee projects chennai, ieee projects 2016,ie...ieeepondy
 
Protection of big data privacy
Protection of big data privacyProtection of big data privacy
Protection of big data privacyieeepondy
 
Power optimization with bler constraint for wireless fronthauls in c ran
Power optimization with bler constraint for wireless fronthauls in c ranPower optimization with bler constraint for wireless fronthauls in c ran
Power optimization with bler constraint for wireless fronthauls in c ranieeepondy
 
Performance aware cloud resource allocation via fitness-enabled auction
Performance aware cloud resource allocation via fitness-enabled auctionPerformance aware cloud resource allocation via fitness-enabled auction
Performance aware cloud resource allocation via fitness-enabled auctionieeepondy
 
Performance limitations of a text search application running in cloud instances
Performance limitations of a text search application running in cloud instancesPerformance limitations of a text search application running in cloud instances
Performance limitations of a text search application running in cloud instancesieeepondy
 
Performance analysis and optimal cooperative cluster size for randomly distri...
Performance analysis and optimal cooperative cluster size for randomly distri...Performance analysis and optimal cooperative cluster size for randomly distri...
Performance analysis and optimal cooperative cluster size for randomly distri...ieeepondy
 
Predictive control for energy aware consolidation in cloud datacenters
Predictive control for energy aware consolidation in cloud datacentersPredictive control for energy aware consolidation in cloud datacenters
Predictive control for energy aware consolidation in cloud datacentersieeepondy
 
Over flow multi site aware big data management for scientific workflows on cl...
Over flow multi site aware big data management for scientific workflows on cl...Over flow multi site aware big data management for scientific workflows on cl...
Over flow multi site aware big data management for scientific workflows on cl...ieeepondy
 
Optimizing purdue lin microphysics scheme for intel xeon phi coprocessor
Optimizing purdue lin microphysics scheme for intel xeon phi coprocessorOptimizing purdue lin microphysics scheme for intel xeon phi coprocessor
Optimizing purdue lin microphysics scheme for intel xeon phi coprocessorieeepondy
 
Optimizing cloud based video crowdsensing
Optimizing cloud based video crowdsensingOptimizing cloud based video crowdsensing
Optimizing cloud based video crowdsensingieeepondy
 
Multitenant transport networks with sdnnfv
Multitenant transport networks with sdnnfvMultitenant transport networks with sdnnfv
Multitenant transport networks with sdnnfvieeepondy
 
Multi depth-map raytracing for efficient large-scene reconstruction
Multi depth-map raytracing for efficient large-scene reconstructionMulti depth-map raytracing for efficient large-scene reconstruction
Multi depth-map raytracing for efficient large-scene reconstructionieeepondy
 
Mobile volume rendering past, present and future
Mobile volume rendering past, present and futureMobile volume rendering past, present and future
Mobile volume rendering past, present and futureieeepondy
 

More from ieeepondy (20)

Resource and instance hour minimization for deadline constrained dag applicat...
Resource and instance hour minimization for deadline constrained dag applicat...Resource and instance hour minimization for deadline constrained dag applicat...
Resource and instance hour minimization for deadline constrained dag applicat...
 
Reliable and confidential cloud storage with efficient data forwarding functi...
Reliable and confidential cloud storage with efficient data forwarding functi...Reliable and confidential cloud storage with efficient data forwarding functi...
Reliable and confidential cloud storage with efficient data forwarding functi...
 
Rebuttal to “comments on ‘control cloud data access privilege and anonymity w...
Rebuttal to “comments on ‘control cloud data access privilege and anonymity w...Rebuttal to “comments on ‘control cloud data access privilege and anonymity w...
Rebuttal to “comments on ‘control cloud data access privilege and anonymity w...
 
Scalable cloud–sensor architecture for the internet of things
Scalable cloud–sensor architecture for the internet of thingsScalable cloud–sensor architecture for the internet of things
Scalable cloud–sensor architecture for the internet of things
 
Scalable algorithms for nearest neighbor joins on big trajectory data
Scalable algorithms for nearest neighbor joins on big trajectory dataScalable algorithms for nearest neighbor joins on big trajectory data
Scalable algorithms for nearest neighbor joins on big trajectory data
 
Robust workload and energy management for sustainable data centers
Robust workload and energy management for sustainable data centersRobust workload and energy management for sustainable data centers
Robust workload and energy management for sustainable data centers
 
Privacy preserving deep computation model on cloud for big data feature learning
Privacy preserving deep computation model on cloud for big data feature learningPrivacy preserving deep computation model on cloud for big data feature learning
Privacy preserving deep computation model on cloud for big data feature learning
 
Pricing the cloud ieee projects, ieee projects chennai, ieee projects 2016,ie...
Pricing the cloud ieee projects, ieee projects chennai, ieee projects 2016,ie...Pricing the cloud ieee projects, ieee projects chennai, ieee projects 2016,ie...
Pricing the cloud ieee projects, ieee projects chennai, ieee projects 2016,ie...
 
Protection of big data privacy
Protection of big data privacyProtection of big data privacy
Protection of big data privacy
 
Power optimization with bler constraint for wireless fronthauls in c ran
Power optimization with bler constraint for wireless fronthauls in c ranPower optimization with bler constraint for wireless fronthauls in c ran
Power optimization with bler constraint for wireless fronthauls in c ran
 
Performance aware cloud resource allocation via fitness-enabled auction
Performance aware cloud resource allocation via fitness-enabled auctionPerformance aware cloud resource allocation via fitness-enabled auction
Performance aware cloud resource allocation via fitness-enabled auction
 
Performance limitations of a text search application running in cloud instances
Performance limitations of a text search application running in cloud instancesPerformance limitations of a text search application running in cloud instances
Performance limitations of a text search application running in cloud instances
 
Performance analysis and optimal cooperative cluster size for randomly distri...
Performance analysis and optimal cooperative cluster size for randomly distri...Performance analysis and optimal cooperative cluster size for randomly distri...
Performance analysis and optimal cooperative cluster size for randomly distri...
 
Predictive control for energy aware consolidation in cloud datacenters
Predictive control for energy aware consolidation in cloud datacentersPredictive control for energy aware consolidation in cloud datacenters
Predictive control for energy aware consolidation in cloud datacenters
 
Over flow multi site aware big data management for scientific workflows on cl...
Over flow multi site aware big data management for scientific workflows on cl...Over flow multi site aware big data management for scientific workflows on cl...
Over flow multi site aware big data management for scientific workflows on cl...
 
Optimizing purdue lin microphysics scheme for intel xeon phi coprocessor
Optimizing purdue lin microphysics scheme for intel xeon phi coprocessorOptimizing purdue lin microphysics scheme for intel xeon phi coprocessor
Optimizing purdue lin microphysics scheme for intel xeon phi coprocessor
 
Optimizing cloud based video crowdsensing
Optimizing cloud based video crowdsensingOptimizing cloud based video crowdsensing
Optimizing cloud based video crowdsensing
 
Multitenant transport networks with sdnnfv
Multitenant transport networks with sdnnfvMultitenant transport networks with sdnnfv
Multitenant transport networks with sdnnfv
 
Multi depth-map raytracing for efficient large-scene reconstruction
Multi depth-map raytracing for efficient large-scene reconstructionMulti depth-map raytracing for efficient large-scene reconstruction
Multi depth-map raytracing for efficient large-scene reconstruction
 
Mobile volume rendering past, present and future
Mobile volume rendering past, present and futureMobile volume rendering past, present and future
Mobile volume rendering past, present and future
 

Recently uploaded

Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingTechSoup
 
Unit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxUnit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxVishalSingh1417
 
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.MaryamAhmad92
 
Micro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfMicro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfPoh-Sun Goh
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introductionMaksud Ahmed
 
Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxUnit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxVishalSingh1417
 
ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701bronxfugly43
 
How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17Celine George
 
Seal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptxSeal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptxnegromaestrong
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfciinovamais
 
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...ZurliaSoop
 
How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17Celine George
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdfQucHHunhnh
 
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...pradhanghanshyam7136
 
Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Jisc
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.christianmathematics
 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfNirmal Dwivedi
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxAreebaZafar22
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfAdmir Softic
 

Recently uploaded (20)

Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
Unit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxUnit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptx
 
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.
 
Micro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfMicro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdf
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 
Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxUnit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptx
 
ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701
 
How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17
 
Seal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptxSeal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptx
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
 
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
 
How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
 
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
 
Asian American Pacific Islander Month DDSD 2024.pptx
Asian American Pacific Islander Month DDSD 2024.pptxAsian American Pacific Islander Month DDSD 2024.pptx
Asian American Pacific Islander Month DDSD 2024.pptx
 
Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.
 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdf
 

Software defined networking for rsu clouds in support of the internet of vehicles

  • 1. Software Defined Networking for RSU Clouds in support of The Internet of Vehicles Abstract: We propose a novel Roadside Unit (RSU) Cloud, a Vehicular Cloud, as the operational backbone of the Vehicle Grid in the Internet of Vehicles (IoV). The architecture of the proposed RSU Cloud consists of traditional and specialized RSUs employing Software Defined Networking (SDN) to dynamically instantiate, replicate and, or migrate services. We leverage the deep programmability of SDN to dynamically reconfigure the services hosted in the network and their data forwarding information to efficiently serve the underlying demand from the Vehicle Grid. We then present a detailed reconfiguration overhead analysis to reduce reconfigurations, which are costly for service providers. 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 of non-dominated solutions (POF), such that, each solution is a configuration that minimizes either the number of service instances or the RSU Cloud infrastructure delay, for a given average demand. Then, we design an efficient heuristic
  • 2. to minimize the reconfiguration costs. A fundamental contribution of our heuristic approach is the use of reinforcement learning to select configurations that minimize reconfiguration costs in the network over the long term. We perform reconfiguration cost analysis and compare the results of our CRM formulation and heuristic. We also show the reduction in reconfiguration costs when using reinforcement learning in comparison to a myopic approach. We show significant improvement in the reconfigurations costs and infrastructure delay when compared to purist service installations. Existing System: The Vehicular Cloud resides on top of the Vehicle Grid and is the backbone for its operations. The Vehicle Grid is essentially a Vehicular Ad hoc Network (VANET) of On-Board Units (OBUs) in vehicles and Roadside Units (RSUs) in the fixed road infrastructure. Vehicle OBUs comprise of localization systems (for example, Global Positioning System, Inertial Measurement Unit, etc.), processing units, sensors and radio transceivers, mounted in and around the vehicle. Roadside units are sensors and microcontrollers installed alongside and in the road, for example cameras in traffic lights and road signs and pressure sensors and traffic light actuators on the road. The IEEE standards and protocols for Wireless Access in Vehicular Environments (WAVE) define the inter-networking for vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications. Proposed System: We propose a novel Vehicular Cloud architecture called RSU Cloud, which consists of traditional RSUs and specialized micro-scale datacenters. The
  • 3. RSU Cloud hosts services to meet frequently changing demands from the Vehicle Grid. The novelty of our RSU Cloud architecture lies in benefiting from the flexibility and deep programmability offered in Software Defined Networking (SDN). In SDN, there are two communication planes, the physical data plane and an abstracted control plane. This decoupling of control and data planes enables the flexibility and programmability of the SDN. In the RSU Clouds, virtualization via virtual machines and SDN is employed to dynamically instantiate, migrate, and/or replicate services and dynamically reconfigure data forwarding rules in the network to meet the frequently changing service demands. Hardware Requirements: • System : Pentium IV 2.4 GHz. • Hard Disk : 40 GB. • Floppy Drive : 1.44 Mb. • Monitor : 15 VGA Colour. • Mouse : Logitech. • RAM : 256 Mb. Software Requirements: • Operating system : - Windows XP. • Front End : - JSP • Back End : - SQL Server
  • 4. Software Requirements: • Operating system : - Windows XP. • Front End : - .Net • Back End : - SQL Server