2019Unpublished venueRequires access

An Overview of Grid Computing

Manjeet Singh

Open publisher page 16 citations

Abstract

Grid Computing is basically an infrastructure which provides high computational capacity to the distributed system by making use of widely geographically distributed resources. The resources in grid are owned by different organizations which has their own policies, computation capability, framework, and cost and access model. The last fifteen years have observed a growth in computer and network performance due to better hardware and software availability. Although, the growth in field of computing is very good but still there are problems in the field of Science, Engineering and Businesses which needs to be handle more effectively. Actually due to the large size of the problems, numerical computation, large volume of data processing, the problems needs a verity of resources which are often not available at a single machine. So, basically Grid Computing is an idea to identify and use the geographically distributed heterogeneous resources to solve the data intensive numerical problems. There are various approaches which make use of distributed resources in different manner to solve similar kind of problems known by different names like-Cluster Computing, Cloud Computing, Meta Computing, Scalable Computing, Distributed Computing, Parallel Computing and more recently the grid computing.

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What this paper is about

Grid Computing is basically an infrastructure which provides high computational capacity to the distributed system by making use of widely geographically distributed resources. The resources in grid are owned by different organizations which has their own policies, computation capability, framework, and cost and access model. The last fifteen years have observed a growth in computer and network performance due to better hardware and software availability. Although, the growth in field of computing is very good but still there are problems in the field of Science, Engineering and Businesses which needs to be handle more effectively. Actually due to the large size of the problems, numerical computation, large volume of data processing, the problems needs a verity of resources which are often not available at a single machine. So, basically Grid Computing is an idea to identify and use the geographically distributed heterogeneous resources to solve the data intensive numerical problems. There are various approaches which make use of distributed resources in different manner to solve similar kind of problems known by different names like-Cluster Computing, Cloud Computing, Meta Computing, Scalable Computing, Distributed Computing, Parallel Computing and more recently the grid computing.

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Available abstract

Grid Computing is basically an infrastructure which provides high computational capacity to the distributed system by making use of widely geographically distributed resources. The resources in grid are owned by different organizations which has their own policies, computation capability, framework, and cost and access model. The last fifteen years have observed a growth in computer and network performance due to better hardware and software availability. Although, the growth in field of computing is very good but still there are problems in the field of Science, Engineering and Businesses which needs to be handle more effectively. Actually due to the large size of the problems, numerical computation, large volume of data processing, the problems needs a verity of resources which are often not available at a single machine. So, basically Grid Computing is an idea to identify and use the geographically distributed heterogeneous resources to solve the data intensive numerical problems. There are various approaches which make use of distributed resources in different manner to solve similar kind of problems known by different names like-Cluster Computing, Cloud Computing, Meta Computing, Scalable Computing, Distributed Computing, Parallel Computing and more recently the grid computing.

Key concepts: Grid computing, Computer science, Distributed computing, Utility computing, Cloud computing, Fabric computing, Scalability, Grid

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