{"title":"压缩Yahoo Mail","authors":"Aran Bergman, Eyal Zohar","doi":"10.1109/DCC.2015.15","DOIUrl":null,"url":null,"abstract":"Yahoo mail servers have been receiving an enormous number of messages each day for the past 17 years. The vast majority of today's messages are machine-generated (about 90% of the messages), based on a boilerplate with a small number of specific per-recipient changes. We show that the popular Zlib compression to gzip format fails to fully utilize the high similarity between these machine-generated messages. In this paper we analyze the data redundancy in Yahoo mail, and present methods to reduce its space requirements while using the standard Zlib library. Our results show we can further reduce the compressed data size by a factor of almost 2.5, compared to traditional gzip compression.","PeriodicalId":313156,"journal":{"name":"2015 Data Compression Conference","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Compressing Yahoo Mail\",\"authors\":\"Aran Bergman, Eyal Zohar\",\"doi\":\"10.1109/DCC.2015.15\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Yahoo mail servers have been receiving an enormous number of messages each day for the past 17 years. The vast majority of today's messages are machine-generated (about 90% of the messages), based on a boilerplate with a small number of specific per-recipient changes. We show that the popular Zlib compression to gzip format fails to fully utilize the high similarity between these machine-generated messages. In this paper we analyze the data redundancy in Yahoo mail, and present methods to reduce its space requirements while using the standard Zlib library. Our results show we can further reduce the compressed data size by a factor of almost 2.5, compared to traditional gzip compression.\",\"PeriodicalId\":313156,\"journal\":{\"name\":\"2015 Data Compression Conference\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-04-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 Data Compression Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DCC.2015.15\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Data Compression Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCC.2015.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Yahoo mail servers have been receiving an enormous number of messages each day for the past 17 years. The vast majority of today's messages are machine-generated (about 90% of the messages), based on a boilerplate with a small number of specific per-recipient changes. We show that the popular Zlib compression to gzip format fails to fully utilize the high similarity between these machine-generated messages. In this paper we analyze the data redundancy in Yahoo mail, and present methods to reduce its space requirements while using the standard Zlib library. Our results show we can further reduce the compressed data size by a factor of almost 2.5, compared to traditional gzip compression.
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