1. Introduction
The last decade has seen a substantial increase in commodity computing and network performance, mainly as a result of faster hardware and more sophisticated software. These commodity technologies have been used to develop low-cost high-performance computing systems, popularly called clusters, to solve resource-intensive problems in a number of application domains. Particularly, in the scientific arena, the availability of powerful computing resources has allowed scientists to broaden their simulations and e ....etc

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A Computational Grid is a collection of heterogeneous computers and resources spread across multiple administrative domains with the intent of providing users easy access to these resources. There are many ways to access the resources of a Computational Grid, each with unique security requirements and implications for both the resource user and the resource provider. A comprehensive set of Grid usage scenarios is presented and analyzed with regard to security requirements such as authentication, authorization, integrity, and confidentiality. Th ....etc

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The Semantic Grid refers to an approach to Grid computing in which information, computing resources and services are described using the semantic data model. In this model the data and metadata are expressed through facts (small sentences). Therefore it becomes directly understandable for humans. This makes it easier for resources to be discovered and joined up automatically, which helps bring resources together to create virtual organizations. The descriptions constitute metadata and are typically represented using the technologies of the Sema ....etc

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A Computational Grid is a collection of heterogeneous computers and resources spread across multiple administrative domains with the intent of providing users easy access to these resources. There are many ways to access the resources of a Computational Grid, each with unique security requirements and implications for both the resource user and the resource provider.

A comprehensive set of Grid usage scenarios is presented and analyzed with regard to security requirements such as authentication, authorization, integrity, and confidentiality ....etc

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A SEMINAR REPORT
on GRID COMPUTING
Submitted by
ARBIND KUMAR
COMPUTER SCIENCE AND ENGINEERING
SCHOOL OF ENGINEERING
COCHIN UNIVERSITY OF SCIENCE AND TECHNOLOGY
KOCHI

ABSTRACT
The famous test run of a massive particle collider, the team of scientists overseeing the 111-nation effort is using a worldwide grid of servers and desktops to study the results. There are about 30,000 servers and more than 100,000 processor cores around ....etc

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A Computational Grid is a collection of heterogeneous computers and resources spread across multiple administrative domains with the intent of providing users easy access to these resources. There are many ways to access the resources of a Computational Grid, each with unique security requirements and implications for both the resource user and the resource provider. A comprehensive set of Grid usage scenarios is presented and analyzed with regard to security requirements such as authentication, authorization, integrity, and confidentiality. Th ....etc

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High performance and data-intensive computing and networking technology has become a vital part of large-scale scientific research projects in areas such as high energy physics, astronomy space exploration and human genome projects. One such example is the Large Hadron Collider project at CERN, where four major experiment groups will generate an order of Petabyte of raw data from four big underground particle detectors each year, data acquisition starting in from 2006.Grid Technology will play an essential role in constructing world wide data a ....etc

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Recent surveys have shown the WWW is still remaining undiscovered by Search Engines and through Human Intervention. This is primarily due to the lack of Infrastructure and cost factor of such hardware which required to carrying out such processes. My endeavour in finding a solution to this will be focusing on Idle Computer time available in Compute clusters. Deployed client applications will harvest the web and return the results to the Server Computer. Compute Clusters may create through Voluntary Computing or by using specific Infrastructure ....etc

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GEMINI (Generic Monitoring Infrastructure) is a lightweight
framework for providing monitoring data of various types over
Web Services in distributed environments. GEMINI can collect
data about different types of entities including applications,
resources or services. Generic sensor infrastructure is provided
to enable users to create and deploy their own sensors and produce
data into GEMINI infrastructure. In the design of GEMINI we have
combined lightweight technologies with web services to provide
both: efficiency and interoperabilit ....etc

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High performance and data-intensive computing and networking technology has become a vital part of large-scale scientific research projects in areas such as high energy physics, astronomy space exploration and human genome projects. One such example is the Large Hadron Collider project at CERN, where four major experiment groups will generate an order of Petabyte of raw data from four big underground particle detectors each year, data acquisition starting in from 2006.Grid Technology will play an essential role in constructing world wide data a ....etc

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