{"title":"基于提示的Web代理缓存加速","authors":"D. Roşu, A. Iyengar, D. Dias","doi":"10.1109/PCCC.2000.830299","DOIUrl":null,"url":null,"abstract":"Numerous studies show that proxy cache miss ratios are typically at least 40%-50%. This paper proposes and evaluates a new approach for improving the throughput of proxy caches by reducing cache miss overheads. An embedded system able to achieve significantly better communications performance than a traditional proxy filters the requests directed to a proxy cache, forwarding the hits to the proxy and processing the misses itself. This system, called a Proxy Accelerator, uses hints of the proxy cache content and may include a main memory cache for the hottest objects. Scalability with the Web proxy cluster size is achieved by using several accelerators. We use analytical models and trace-based simulations to study the benefits and the implementation tradeoffs of this new approach. A single proxy accelerator node in front of a four-node Web proxy improves the cost-performance ratio by about 40%. Implementation choices that do not affect the overall hit ratio are available.","PeriodicalId":387201,"journal":{"name":"Conference Proceedings of the 2000 IEEE International Performance, Computing, and Communications Conference (Cat. No.00CH37086)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Hint-based acceleration of Web proxy caches\",\"authors\":\"D. Roşu, A. Iyengar, D. Dias\",\"doi\":\"10.1109/PCCC.2000.830299\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Numerous studies show that proxy cache miss ratios are typically at least 40%-50%. This paper proposes and evaluates a new approach for improving the throughput of proxy caches by reducing cache miss overheads. An embedded system able to achieve significantly better communications performance than a traditional proxy filters the requests directed to a proxy cache, forwarding the hits to the proxy and processing the misses itself. This system, called a Proxy Accelerator, uses hints of the proxy cache content and may include a main memory cache for the hottest objects. Scalability with the Web proxy cluster size is achieved by using several accelerators. We use analytical models and trace-based simulations to study the benefits and the implementation tradeoffs of this new approach. A single proxy accelerator node in front of a four-node Web proxy improves the cost-performance ratio by about 40%. Implementation choices that do not affect the overall hit ratio are available.\",\"PeriodicalId\":387201,\"journal\":{\"name\":\"Conference Proceedings of the 2000 IEEE International Performance, Computing, and Communications Conference (Cat. No.00CH37086)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-02-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Proceedings of the 2000 IEEE International Performance, Computing, and Communications Conference (Cat. No.00CH37086)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PCCC.2000.830299\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Proceedings of the 2000 IEEE International Performance, Computing, and Communications Conference (Cat. No.00CH37086)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PCCC.2000.830299","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Numerous studies show that proxy cache miss ratios are typically at least 40%-50%. This paper proposes and evaluates a new approach for improving the throughput of proxy caches by reducing cache miss overheads. An embedded system able to achieve significantly better communications performance than a traditional proxy filters the requests directed to a proxy cache, forwarding the hits to the proxy and processing the misses itself. This system, called a Proxy Accelerator, uses hints of the proxy cache content and may include a main memory cache for the hottest objects. Scalability with the Web proxy cluster size is achieved by using several accelerators. We use analytical models and trace-based simulations to study the benefits and the implementation tradeoffs of this new approach. A single proxy accelerator node in front of a four-node Web proxy improves the cost-performance ratio by about 40%. Implementation choices that do not affect the overall hit ratio are available.