{"title":"Revisiting AS-level graph reduction","authors":"Erik C. Rye, Justin P. Rohrer, Robert Beverly","doi":"10.1109/INFCOMW.2016.7562121","DOIUrl":null,"url":null,"abstract":"The topological structure of the Internet - the interconnection of routers and autonomous systems (ASes) - is large and complex. Frequently it is necessary to evaluate network protocols and applications on “Internet-like” graphs in order understand their security, resilience, and performance properties. A fundamental obstacle to emulation and simulation is creating realistic Internet-like topologies of reduced order. We reexamine existing AS graph reduction algorithms and find that they struggle to capture graph theoretic properties of modern topologies and topologies obtained from different sources. We develop a new AS graph reduction method that performs well across time periods and data sets.","PeriodicalId":348177,"journal":{"name":"2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFCOMW.2016.7562121","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The topological structure of the Internet - the interconnection of routers and autonomous systems (ASes) - is large and complex. Frequently it is necessary to evaluate network protocols and applications on “Internet-like” graphs in order understand their security, resilience, and performance properties. A fundamental obstacle to emulation and simulation is creating realistic Internet-like topologies of reduced order. We reexamine existing AS graph reduction algorithms and find that they struggle to capture graph theoretic properties of modern topologies and topologies obtained from different sources. We develop a new AS graph reduction method that performs well across time periods and data sets.