Research on the Epidemic Model in P2P File-Sharing System

Author

Yang, Wei ; Ying, Wei ; Chang, Gui-ran ; Zhang, Zhuo-Qun

Author_Institution

Software Coll., Northeastern Univ., Shenyang, China

Volume

2

fYear

2009

fDate

12-14 Aug. 2009

Firstpage

386

Lastpage

390

Abstract

In this paper an M_RESDL dynamic model is proposed for analyzing file diffusion in a node-to-node (P2P) file-sharing network. According to the principle of the P2P file diffusion system, each node not only shares the downloaded parts of the file, but also downloads the needed parts of the file. This behavior is similar to the spreading of epidemic diseases. The well-known medical model SIR is applied and modified to simulate P2P system. There exist five types of node in the model of M_RESDL, which is used to simulate the dynamic behavior of the P2P network. Model of M_RESDL is proved to have the ability to simulate the behavior of the nodes in P2P and is can be used to research the influence arguments of P2P file-sharing behavior.

Keywords

differential equations; peer-to-peer computing; M_RESDL dynamic model; P2P file diffusion system; SIR differential equation; eDonkey P2P file-sharing system; epidemic disease; epidemic model; medical SIR model; node-to-node P2P network; peer-to-peer network; susceptible-infected-recovery model; Computer networks; Diseases; Educational institutions; Electronic mail; Hybrid intelligent systems; Information analysis; Information science; Medical simulation; Peer to peer computing; Software systems; File-sharing; Model of SIR; Node-to-Node;

fLanguage

English

Publisher

ieee

Conference_Titel

Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on

Conference_Location

Shenyang

Print_ISBN

978-0-7695-3745-0

Type

conf

DOI

10.1109/HIS.2009.191

Filename

5254489