{"title":"互联网传输关系的网络形成模型","authors":"Aemen Lodhi, C. Dovrolis","doi":"10.1145/1879082.1879088","DOIUrl":null,"url":null,"abstract":"Most Autonomous Systems in the Internet need to select one or more transit providers. The provider selection process is complex, influenced by dynamic pricing, contracts, performance, marketing and other factors. We propose a simple dynamic model that captures the salient features of the provider selection process. The model creates a positive feedback effect, where \"the bigger a provider is the bigger it gets\". We then study the resulting internetwork formation process, showing that it always leads to a stable, but not unique, internetwork. We also use computational experiments to understand how the convergence delay scales with the size of the network, the factor(s) that affect the number of distinct equilibria, and the impact of three key model parameters.","PeriodicalId":122327,"journal":{"name":"Workshop on Economics of Networks, Systems and Computation","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"A network formation model for internet transit relations\",\"authors\":\"Aemen Lodhi, C. Dovrolis\",\"doi\":\"10.1145/1879082.1879088\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Most Autonomous Systems in the Internet need to select one or more transit providers. The provider selection process is complex, influenced by dynamic pricing, contracts, performance, marketing and other factors. We propose a simple dynamic model that captures the salient features of the provider selection process. The model creates a positive feedback effect, where \\\"the bigger a provider is the bigger it gets\\\". We then study the resulting internetwork formation process, showing that it always leads to a stable, but not unique, internetwork. We also use computational experiments to understand how the convergence delay scales with the size of the network, the factor(s) that affect the number of distinct equilibria, and the impact of three key model parameters.\",\"PeriodicalId\":122327,\"journal\":{\"name\":\"Workshop on Economics of Networks, Systems and Computation\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Workshop on Economics of Networks, Systems and Computation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1879082.1879088\",\"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 Economics of Networks, Systems and Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1879082.1879088","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A network formation model for internet transit relations
Most Autonomous Systems in the Internet need to select one or more transit providers. The provider selection process is complex, influenced by dynamic pricing, contracts, performance, marketing and other factors. We propose a simple dynamic model that captures the salient features of the provider selection process. The model creates a positive feedback effect, where "the bigger a provider is the bigger it gets". We then study the resulting internetwork formation process, showing that it always leads to a stable, but not unique, internetwork. We also use computational experiments to understand how the convergence delay scales with the size of the network, the factor(s) that affect the number of distinct equilibria, and the impact of three key model parameters.