{"title":"自适应WebView物化","authors":"Alexandros Labrinidis, N. Roussopoulos","doi":"10.21236/ada439848","DOIUrl":null,"url":null,"abstract":"Dynamic content generation poses huge resource demands on web servers, creating a scalability problem. WebView Materialization, where web pages are cached and constantly refreshed in the background, has been shown to ameliorate the scalability problem without sacrificing data freshness. In this work we present an adaptive online algorithm to select which WebViews to materialize, that realizes the trade-off between Quality of Service and Quality of Data. Our algorithm performs very close to the static, off-line optimal algorithm, and, under rapid workload changes, it outperforms the optimal.","PeriodicalId":93360,"journal":{"name":"Proceedings of the 5th International Workshop on Exploratory Search in Databases and the Web. International Workshop on Exploratory Search in Databases and the Web (5th : 2018 : Houston, Tex.)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2001-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"28","resultStr":"{\"title\":\"Adaptive WebView Materialization\",\"authors\":\"Alexandros Labrinidis, N. Roussopoulos\",\"doi\":\"10.21236/ada439848\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Dynamic content generation poses huge resource demands on web servers, creating a scalability problem. WebView Materialization, where web pages are cached and constantly refreshed in the background, has been shown to ameliorate the scalability problem without sacrificing data freshness. In this work we present an adaptive online algorithm to select which WebViews to materialize, that realizes the trade-off between Quality of Service and Quality of Data. Our algorithm performs very close to the static, off-line optimal algorithm, and, under rapid workload changes, it outperforms the optimal.\",\"PeriodicalId\":93360,\"journal\":{\"name\":\"Proceedings of the 5th International Workshop on Exploratory Search in Databases and the Web. International Workshop on Exploratory Search in Databases and the Web (5th : 2018 : Houston, Tex.)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"28\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 5th International Workshop on Exploratory Search in Databases and the Web. International Workshop on Exploratory Search in Databases and the Web (5th : 2018 : Houston, Tex.)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21236/ada439848\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 5th International Workshop on Exploratory Search in Databases and the Web. International Workshop on Exploratory Search in Databases and the Web (5th : 2018 : Houston, Tex.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21236/ada439848","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dynamic content generation poses huge resource demands on web servers, creating a scalability problem. WebView Materialization, where web pages are cached and constantly refreshed in the background, has been shown to ameliorate the scalability problem without sacrificing data freshness. In this work we present an adaptive online algorithm to select which WebViews to materialize, that realizes the trade-off between Quality of Service and Quality of Data. Our algorithm performs very close to the static, off-line optimal algorithm, and, under rapid workload changes, it outperforms the optimal.