FINAL YEAR IEEE PROJECTS, EMBEDDED SYSTEMS PROJECTS, ENGINEERING PROJECTS, MCA PROJECTS, ROBOTICS PROJECTS, ARM PIC BASED PROJECTS, MICRO CONTROLLER PROJECTS Z Technologies, Chennai

1. DATA CENTER AT THE AIRPORT: REASONING ABOUT TIME-
DEPENDENT PARKING LOT OCCUPANCY
OBJECTIVE:
In this project we are considering the implementation of a Vehicular
Cloud, which aggregates the computing capabilities of parked vehicles in the
long-term parking lot of an international airport.
PROBLEM STATEMENT:
The problem found in our existing system as, intermittent short-range
communication between vehicles. The connectivity to cloud is low due to
changing positions time by time. Tracking is only possible when each vehicle is
allowed to communicate with each other.
ABSTRACT:
Cloud computing technique is gaining more and more popularity
recently. It can be applied to the vehicle applications to ensure real time
performance as well as to improve accuracy and comfort degree for drivers.
Some innovative and real time vehicle cloud services are introduced to show the
wide potential applications of vehicles and some discussion about research
challenges, context classification is also provided. Instead of purchasing all
kinds of sensors and devices on each vehicle, individual drivers will subscribe
to the cloud-provided infrastructure, platform and applications as services on-
demand. On the other hand, vehicles and road-side infrastructure with idle the

2. sophisticated on-board devices for long periods of time can be recruited to form
a computing cloud, i.e. Vehicular Cloud Computing (VCC).
A vehicular cloud can be formed on the fly by dynamically integrating
resources and collecting information. Vehicles can access the cloud and obtain,
at the right time and the right place, all the needed resources and applications
the need or want.
EXISTING SYSTEM:
Advances in vehicular networks, embedded devices, and cloud computing
can be used to form Vehicular Cloud Computing, VC2 for short. In VC2, the
underutilized vehicles resources such as computing power, Internet connectivity
and storage can be shared between drivers or rented over the Internet to various
customers, very much like usual cloud resources are. A group of vehicles whose
corporate computing, sensing, communication and physical resources can be
coordinated and dynamically allocated to authorized users.
DISADVANTAGES:
 Intermittent short-range communication between vehicles.
 The connectivity to cloud is low due to changing positions time by time.
 Tracking is only possible when each vehicle is allowed to communicate
with each other.

3. PROPOSED SYSTEM:
In the proposed system the data centre at the airport is
implemented using the aggregating the computing capabilities of parked
vehicles. The data centre resources are the pooled resources of the individual
vehicles parked at the airport for long time that are willing to participate in the
vehicular cloud.
These vehicles are willing to lend their excess on-board resources in
return for some quantifiable benefit. The data centre manager consists of the
following components: a broker daemon that negotiates cloud service requests
on behalf of the VC from various potential clients. The broker has the authority
to accept feasible requests and to commit cloud resources to meet their
specifications; a virtualization agent that configures the available cloud
resources in ways that best match the commitments underwritten by the broker.
A resource manager in charge of discovering and managing the dynamically
changing cloud resources; and, a task scheduler that allocates computational
tasks to individual clusters or even to individual vehicles in a Cluster based on
the amount of available resources.
ADVANTAGES:
• The currently available resources are tracked, and there computing
capabilities are aggregated to provide the resources for Vehicular cloud
• discovers new resources as soon as any vehicle enters to the parking lot,
and calculates the capability of the resources time by time.
• migrates tasks from a vehicle leaving the VC to an available vehicle and
balances the loads of the existing clusters.

4. ALGORITHM USED:
1. A-Priori Algorithm
2. Priority Scheduling
3. Triple DES (Data Encryption Standard)
ARCHITECTURE DIAGRAM:
Vehicle
resources Vehicle
resources
Network
Vehicle
Resources
Vehicle
Vehicle resources
resources
Virtualized Consumer
Application Machine
Service

5. SYSTEM REQUIREMENTS:
Hardware Requirements:
 System : Pentium IV 2.4 GHz.
 Hard Disk : 40 GB.
 Floppy Drive : 1.44 Mb.
 Monitor : 15 VGA Colour.
 Mouse : Logitech.
 Ram : 512 Mb.
Software Requirements:
 Operating system : Windows XP.
 Coding Language : ASP.Net with C#
 Data Base : SQL Server
APPLICATIONS:
1. Tourism
2. Online Ticket Booking
3. Service Oriented Applications