Disadvantages Of Grid Computing

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Chapter-1
Introduction

Grid computing is an extension to parallel and distributed computing. It is an emerging environment to solve large scale complex problems. It enables the sharing, coordinating and aggregation of computational machines to full the user demands. Computational grid is an innovative technology for succeeding generations. It is a collection of machines which is geographically distributed under different organizations. It makes a heterogeneous high performance computing environment.
Task scheduling and machine management are the essential component in computational grid. Due to the widespread use of resources, systems are highly prone to errors and failures. Hence fault tolerance plays a key role in grid to avoid the problem …show more content…

Data Grid: Data grids primarily deal with providing services and infrastructure for distributed data-intensive applications that need to access, transfer and modify massive datasets stored in distributed storage resources [4].

1.1.3 Basic grid model:

The basic grid model generally composed of a number of hosts, each composed of several computational resources, which may be homogeneous or heterogeneous. The four basic building blocks of grid model are user, res ource broker, grid information service (GIS) and lastly resources.

Figure 1.2: Basic Grid Model [5]

When user requires high speed execution, the job is submitted to the broker in grid.
1. Users: The user enters the jobs to be executed on processor in computational grid.
2. Resource Broker: Users typically do not interact with Grid services directly. Resource Broker is used to discover computing resources with the help of Information System and provide the jobs suitable resource for their computation. Resource broker is used to find the appropriate resource for the jobs, to do so it contacts the grid information server that keeps the status of all the currently available resources in the grid …show more content…

Grid was originally conceived and designed in this community to allow access to computing resources that were geographically dispersed. The notion was that underutilized resources in places other than where the researchers were physically located could be used. Also fundamental in the formative thinking was the prospect of sharing access to data, typically in the form of files that were being jointly produced and used by collaborators in disparate locations.
Before discussing more about Grids lets go back to birth of distributed computing:
In the early 1970's when computers were first linked by networks, the idea of harnessing unused CPU cycles was born. A few early experiments with distributed computing — including a pair of programs called Creeper and Reaper — ran on the Internet's predecessor, the

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