{"title":"Sarasate","authors":"Bin Gui, Fangping Lan, Anduo Wang","doi":"10.1145/3472716.3472848","DOIUrl":null,"url":null,"abstract":"Policy information in computer networking today is hard to manage. This is in sharp contrast to relational data structured in a database that allows easy access. In this demonstration, we ask why cannot (or how can) turn network policies into relational data. Our key observation is that oftentimes a policy does not prescribe a single ``definite'' network state, but rather is an ``incomplete'' description of all the legitimate network states. Based on this idea, we adopt conditional tables and the usual SQL interface (a relational structure developed for incomplete database) as a means to represent and query sets of network states in exactly the same way as a single definite network snapshot. More importantly, like relational tables that improve data productivity and innovation, relational policies allow us to extend a rich set of data mediating methods to address the networking problem of coordinating policies in a distributed environment.","PeriodicalId":178725,"journal":{"name":"Proceedings of the SIGCOMM '21 Poster and Demo Sessions","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the SIGCOMM '21 Poster and Demo Sessions","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3472716.3472848","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Policy information in computer networking today is hard to manage. This is in sharp contrast to relational data structured in a database that allows easy access. In this demonstration, we ask why cannot (or how can) turn network policies into relational data. Our key observation is that oftentimes a policy does not prescribe a single ``definite'' network state, but rather is an ``incomplete'' description of all the legitimate network states. Based on this idea, we adopt conditional tables and the usual SQL interface (a relational structure developed for incomplete database) as a means to represent and query sets of network states in exactly the same way as a single definite network snapshot. More importantly, like relational tables that improve data productivity and innovation, relational policies allow us to extend a rich set of data mediating methods to address the networking problem of coordinating policies in a distributed environment.