File transfer using Peer-to-Peer file sharing applications is usually divided into two steps: resource search and resource download. Depending on the file size and its popularity, either of the two phases can become the bottleneck. In this paper we describe both the location and download phases of a generic Peer-to-Peer file sharing application using a fluid model. The proposed model allows the computation of the transfer time distribution, and it is capable of considering some advanced characteristic such as parallel downloads and on-off peer behavior. Model parameters reflect network, application, resource and user characteristics, and can be tuned to analyze a large number of different real Peer-to-Peer implementations.ile transfer using Peer-to-Peer file sharing applications is usually divided into two steps: resource search and resource download. Depending on the file size and its popularity, either of the two phases can become the bottleneck. In this paper we describe both the location and download phases of a generic Peer-to-Peer file sharing application using a fluid model. The proposed model allows the computation of the transfer time distribution, and it is capable of considering some advanced characteristic such as parallel downloads and on-off peer behavior. Model parameters reflect network, application, resource and user characteristics, and can be tuned to analyze a large number of different real Peer-to-Peer implementations.
Modelling Search, Availability, and Parallel Download in P2P File Sharing Applications with Fluid Model
GRIBAUDO, MARCO
2006-01-01
Abstract
File transfer using Peer-to-Peer file sharing applications is usually divided into two steps: resource search and resource download. Depending on the file size and its popularity, either of the two phases can become the bottleneck. In this paper we describe both the location and download phases of a generic Peer-to-Peer file sharing application using a fluid model. The proposed model allows the computation of the transfer time distribution, and it is capable of considering some advanced characteristic such as parallel downloads and on-off peer behavior. Model parameters reflect network, application, resource and user characteristics, and can be tuned to analyze a large number of different real Peer-to-Peer implementations.ile transfer using Peer-to-Peer file sharing applications is usually divided into two steps: resource search and resource download. Depending on the file size and its popularity, either of the two phases can become the bottleneck. In this paper we describe both the location and download phases of a generic Peer-to-Peer file sharing application using a fluid model. The proposed model allows the computation of the transfer time distribution, and it is capable of considering some advanced characteristic such as parallel downloads and on-off peer behavior. Model parameters reflect network, application, resource and user characteristics, and can be tuned to analyze a large number of different real Peer-to-Peer implementations.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.