{"title":"P2P网络资源共享机制的演化博弈模型","authors":"Qiang Zhang, Hui-Feng Xue, Xiao-dong Kou","doi":"10.1109/IITA.2007.29","DOIUrl":null,"url":null,"abstract":"Aiming at the micro and static aspects of methodology limitations in Peer-to-Peer (P2P) network resources-sharing research and based on features like self-organization, dynamic and expandability of P2P network, this paper advances an evolutionary game model for resources-sharing mechanism in P2P network peers by employing evolutionary game theory, which can analyze the dynamic evolutionary process of the mechanism. The analysis results show that the network's evolutionary direction is related to the players' payoff matrix as well as to the network's initial state. Moreover, the key factors affecting the network's evolution, i.e., cooperation profit, initial cooperation cost, resources differences among peers and the relative discount factors, are further studied respectively.","PeriodicalId":191218,"journal":{"name":"Workshop on Intelligent Information Technology Application (IITA 2007)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":"{\"title\":\"An Evolutionary Game Model of Resources-sharing Mechanism in P2P Networks\",\"authors\":\"Qiang Zhang, Hui-Feng Xue, Xiao-dong Kou\",\"doi\":\"10.1109/IITA.2007.29\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming at the micro and static aspects of methodology limitations in Peer-to-Peer (P2P) network resources-sharing research and based on features like self-organization, dynamic and expandability of P2P network, this paper advances an evolutionary game model for resources-sharing mechanism in P2P network peers by employing evolutionary game theory, which can analyze the dynamic evolutionary process of the mechanism. The analysis results show that the network's evolutionary direction is related to the players' payoff matrix as well as to the network's initial state. Moreover, the key factors affecting the network's evolution, i.e., cooperation profit, initial cooperation cost, resources differences among peers and the relative discount factors, are further studied respectively.\",\"PeriodicalId\":191218,\"journal\":{\"name\":\"Workshop on Intelligent Information Technology Application (IITA 2007)\",\"volume\":\"59 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-12-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Workshop on Intelligent Information Technology Application (IITA 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IITA.2007.29\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Workshop on Intelligent Information Technology Application (IITA 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IITA.2007.29","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Evolutionary Game Model of Resources-sharing Mechanism in P2P Networks
Aiming at the micro and static aspects of methodology limitations in Peer-to-Peer (P2P) network resources-sharing research and based on features like self-organization, dynamic and expandability of P2P network, this paper advances an evolutionary game model for resources-sharing mechanism in P2P network peers by employing evolutionary game theory, which can analyze the dynamic evolutionary process of the mechanism. The analysis results show that the network's evolutionary direction is related to the players' payoff matrix as well as to the network's initial state. Moreover, the key factors affecting the network's evolution, i.e., cooperation profit, initial cooperation cost, resources differences among peers and the relative discount factors, are further studied respectively.