Increasing use of internet results the network traffic and slow data transfer speed. Because every file, data is transferred from one computer to another computer through internet the user need a consistent speed for uploading the data as well as download speed. Upload can be defined as the process of transferring data from client computer to server and downloading can be defined as the processes of transferring from server to client computer. Bandwidth can be a considered as the major factor affecting the download time. Bandwidth can be defined as the maximum amount of information a communication channel can carry. When working on the download speed for a file user need an estimator tool for prediction. This paper presents the basic idea of download process and some mathematical prediction methods such as Regression Analysis for download time estimation. It also covers the factors which can affect the download process and total download time. This paper proposes a framework for regression application for estimating the download time. After Estimation of download time the technique for download time reduction is required. In a network the file is shared by using the concept of Mirror servers. Download Time can be reduced by selecting the best mirror server or selecting the suitable set of mirror servers. Here for selection of mirror servers we consider the major criteria among all the Qos is bandwidth and file size.
Cite this article:
Renuka Gowardhan, Avinash Dhole. Download Time Estimation and Reduction. Research J. Engineering and Tech. 4(1): Jan.-Mar. 2013 page 36-39.
Renuka Gowardhan, Avinash Dhole. Download Time Estimation and Reduction. Research J. Engineering and Tech. 4(1): Jan.-Mar. 2013 page 36-39. Available on: https://www.ijersonline.org/AbstractView.aspx?PID=2013-4-1-9