loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
The Ninth IEEE Workshop on Future Trends of Distributed Computing Systems (FTDCS'03)
Analysis of Parallel Downloading for Large File Distribution
San Juan, Puerto Rico
May 28-May 30
ISBN: 0-7695-1910-5
Simon G. M. Koo, Purdue University
Catherine Rosenberg, Purdue University
Dongyan Xu, Purdue University
Recently, the scheme of parallel downloading (PD) has been adopted by a number of Internet file downloading applications. With the wide deployment of content distribution networks and peer-to-peer networks, PD is expected to be more commonly used for file distribution. There have been experiments showing that PD results in higher aggregated downloading throughput and therefore shorter downloading time experienced by clients. However, these experimental studies focused on the performance experienced by a particular user and did not consider the impact of PD on the network when it is largely deployed. In this paper we present our efforts toward an in-depth understanding of large-scale deployment of PD through simulation and analysis. Our results suggest that while PD may achieve a shorter downloading time, its impact on the network and server is signi.cant. Our analysis is also used for network dimensioning and content distribution service provisioning. We show that with proper admission control and dimensioning, single-server downloading can perform just as well as PD, without the complexity and overhead incurred by PD.
Index Terms:
Parallel Downloading, CDN, Large File Distribution, Network Dimensioning
Citation:
Simon G. M. Koo, Catherine Rosenberg, Dongyan Xu, "Analysis of Parallel Downloading for Large File Distribution," ftdcs, pp.128, The Ninth IEEE Workshop on Future Trends of Distributed Computing Systems (FTDCS'03), 2003
Usage of this product signifies your acceptance of the Terms of Use.