Efficient file downloading and distribution using grid computing for intelligent applications

Abstract

Grid computing works very well for sorting or organizing large amounts of data that is incorrectly grouped or needs to be spaced. It operates on the concept of several hundred interconnected and networked computers that function like stacked software and manage work like a supercomputer. An intelligent system is a machine with a built-in computer connected to the Internet that has the ability to collect and analyze data and communicate with other systems. To create a framework for distributed query engine which supports global grid computing using dynamic task scheduling by centralized resource management and automatic task allocation and result generation in most effective, less time, with data security. Research work is to recognize the implications for software quality of various decisions which must be made in the process of specifying a distributed system. The core logic of the work is to build a generic distributed system which supplies a friendly user API allows remote execution. In this paper represent the efficient file downloading and distribution using grid computing for intelligent applications.