We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Article:Client Level Framework for Parallel Downloading of Large File Systems

by G.Narasinga Rao, Srinivasan Nagaraj
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 3 - Number 2
Year of Publication: 2010
Authors: G.Narasinga Rao, Srinivasan Nagaraj
10.5120/707-991

G.Narasinga Rao, Srinivasan Nagaraj . Article:Client Level Framework for Parallel Downloading of Large File Systems. International Journal of Computer Applications. 3, 2 ( June 2010), 32-38. DOI=10.5120/707-991

@article{ 10.5120/707-991,
author = { G.Narasinga Rao, Srinivasan Nagaraj },
title = { Article:Client Level Framework for Parallel Downloading of Large File Systems },
journal = { International Journal of Computer Applications },
issue_date = { June 2010 },
volume = { 3 },
number = { 2 },
month = { June },
year = { 2010 },
issn = { 0975-8887 },
pages = { 32-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume3/number2/707-991/ },
doi = { 10.5120/707-991 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:50:49.837515+05:30
%A G.Narasinga Rao
%A Srinivasan Nagaraj
%T Article:Client Level Framework for Parallel Downloading of Large File Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 3
%N 2
%P 32-38
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, Mirror sites enable client requests to be serviced by any of a number of servers, reducing load at individual servers and dispersing network load. Typically a client requests service from a single mirror site. We suggest a way for the client to access a file from multiple mirror sites in parallel to speed up the download. We have developed a technique that can deliver dramatic speedups as well as fault tolerance. Our approach doesn’t require a feedback from the client to the servers, thus speeding up the process even more.

References
Index Terms

Computer Science
Information Sciences

Keywords

Parallel downloading Large file system FEC Codes

Powered by PhDFocusTM