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1. GRID INFORMATION
RETRIVAL SYSTEM
USING JAVA
INTRODUCTION
GRID IR is Information Retrieval on the grid! It is a new initiative to
bring together information retrieval techniques with grid computing.
IR or information retrieval is a field of research concerned with
searching unstructured (or quasi-structured) data such as text
documents and the retrieval of results pertinent to a user’s query.
Modern web search engines are the most widely known
implementations of IR system.
Grid computing is the accomplishment of computational tasks on a set
of computers connected by a network. This is similar to distributed
computing, except with a more finely grained implementation for task
assignment and coordination among the grid elements.
Grid computing provides clustering of remotely distributed computing.
The principal focus of grid computing to date has been on maximizing
the use of available processor resources for compute-intensive
applications. Grid computing along with storage virtualization and
server virtualization enables a Utility Computing.
Applying the resources of many computers in a network to a single
problem at the same time – usually a scientific or technical problem that
requires a great number of computer processing cycles or access to
large amounts of data. Grid computing uses software to divide and farm
out pieces of a program to as many as several thousand computers.
A number of corporations, professional groups and university consortia
have developed frameworks and software for managing grid computing
projects. Grid computing is a model for allowing companies to use a
large number of computing resources on demand, no matter where they
are located.
Grid IR applies the tools of grid computing to IR to provide a common
infrastructure for distributed IR. It also brings the capabilities of IR to grid
computing. GRID IR is a newly proposed initiative to implement a
specific architecture for realizing IR on the open grid service architecture
(OGSA) grid-computing platform. Traditional IR models are broken into
constituent pieces and described as OGSA grid services. A model for
interaction among these services describes the GRID IR system.

2. AIM/OBJECTIVE OF THE SYSTEM
The main aim of grid IR is to allow users information needs to be
matched to documents by document collections, indexes and query
engines which all exist as grid services.
The project is implemented using JAVA. MS-ACCESS database is used
for indexing the keywords of the document.
PROPOSED SYSTEM SOFTWARE REQUIREMENTS
Operating system : Windows XP/2000
Software : JDK 1.3 or higher
Database : MS-ACCESS
PROPOSED SYSTEM HARDWARE REQUIREMENTS
Processor : Intel Pentium PIII or higher
RAM : 128 MB or higher
HDD : 80 GB HDD
FDD : 1.44 MB or higher
Monitor / Keyboard / CD drive
PROPOSED SYSTEM DESCRIPTION
Grid Computing is an advanced technology of distributed computing. A
Grid is a collection of computers, storage and other devices, which are
joined together by any means of communication like Internet and which
can be used to manage information and solve their problems among
themselves.
Grid Computing allows usage of the unutilized resources of other
systems. This is achieved by distributing the workload of the system to
the other systems in order to use their unused resources such as their
memory, processor, etc which results in balancing the workload,
decreasing the network traffic, bandwidth, etc.
This concept is used in our project to render a large image in a very
short time by distributing the image to many systems for using their
resources. As the workload is evenly distributed among the grid
network, even the large work can be done in a short time itself.
The main scope is that using the unused resources to complete the
work efficiently. This project helps to use the resources efficiently and
cost effective.

3. Grid Computing is about making large amounts of computing power
available for applications and users. Collaborative development of Java
Grid Engine technology provides the proper development framework to
ensure that Grid Engine technology meets the requirements of the
largest number of users.
Grid computing is a form of networking. Unlike conventional networks
that focus on communication among devices, grid computing harnesses
unused processing cycles of all computers in a network for solving
problems too intensive for any stand-alone machine.
A common example of a well-known grid computing project is the SETI
(Search for Extraterrestrial Intelligence) @Home project, in which PC
users worldwide donate unused processor cycles to help the search for
signs of extraterrestrial life by analyzing signals coming from outer
space.
The proposed project relies on individual users to volunteer to allow the
project to harness the unused processing power of the user's computer.
This method saves the project both money and resources.
This project in Java based Grid computing does require special imaging
software that is unique to the computing project for which the grid is
being used.
The basic idea of grid IR is to define an IR system in terms of three
functional components, implemented as grid services: the collection
manager service (CM), the indexing/searching service (IS), and the
Query processing service (QP).
These services are autonomous, and being grid services, they are
distributed. Since they can be used to create new IR systems or link
existing ones together in an interoperable network of IR services.
Information retrieval(IR) is the science and practice of identifying
documents or sub-documents that needs information needs. Usually, IR
deals with textual documents in semi-structured (e.g., HTML, XML) or
unstructured (plain text) format. In order to boost processing power,
institutions aggregated computing resources across the entire
institution.
The same idea of sharing resources has paved the way for grid
computing but with a far wider scale and scope. Grid computing, in
effect, provides a global reach to distributed computing.
It promises lower total computing costs along with on-demand, reliable,
and inexpensive access to the vast, available computing resources that
would other wise go unused.

4. GRID COMPUTING FEATURES
The requirements for grid-computing infrastructure can be described by
the following attributed:
• Pooling of resources to increase utilization
• Provisioning of work based on policies and dynamic requirements
• Virtualization at every layer of the computing stack
• Self-adaptive software that largely tunes and fixes itself
• Unified management and provisioning.
PROPOSED SYSTEM MODULES
Java Grid project is divided into three modules server, client and
worker
1. SERVER MODULE
User interface Job Scheduler
Workload Management
Resource Management
Data Management
2. WORKER MODULE
Job Requests Receiver
Job Processing Manager
Job Requests Sender
3. CLIENT MODULE
Job Fragmenter
Job Requests Sender
Job Results Receiver
Job Results Aggregator

5. GRID - MODULE DESCRIPTION
1. SERVER MODULE
Server module, which maintains the number of clients and worker
connected to the grid engine, amount of work load given to the
worker, add grid node, remove grid node, data available in the
clients.
2. CLIENT MODULE
The given job is divided into job fragments and given to the grid
server to process, client aggregate the resultant job fragments form
the grid server. The purpose of the client is to divide and aggregate
the job.
3. WORKER MODULE
Worker process the job given by the grid server and then result is
send to the grid server. Worker module runs server automatically
identifies and connect the worker to the grid engine.
In this project worker process the job such as rendering of images
using pov ray software.
GRID – CLIENT GRID - WORKER
G
Job Fragmenter
R
I
Job Requests
D
Job Requests Receiver
Job Requests Sender
S
E
R Job Processing
Manager
V
E
Job Results Receiver R
Job Results Sender
Job Results Aggregator