{"title":"改进了双阈值双除数算法的运行时间","authors":"Teng-Sheng Moh, BingChun Chang","doi":"10.1145/1900008.1900101","DOIUrl":null,"url":null,"abstract":"Chunking algorithms play an important role in hash-based data de-duplication systems. The Basic Sliding Window (BSW) algorithm is the first prototype of a content-based chunking algorithm that can handle most types of data. The Two Thresholds Two Divisors (TTTD) algorithm was proposed to improve the BSW algorithm by controlling the chunk-size variations. We conducted a series of systematic experiments to evaluate the performances of these two algorithms. We also proposed a new improvement for the TTTD algorithm. Our new approach reduced about 6% of the running time and 50% of the large-sized chunks, and also brought other significant benefits.","PeriodicalId":333104,"journal":{"name":"ACM SE '10","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":"{\"title\":\"A running time improvement for the two thresholds two divisors algorithm\",\"authors\":\"Teng-Sheng Moh, BingChun Chang\",\"doi\":\"10.1145/1900008.1900101\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Chunking algorithms play an important role in hash-based data de-duplication systems. The Basic Sliding Window (BSW) algorithm is the first prototype of a content-based chunking algorithm that can handle most types of data. The Two Thresholds Two Divisors (TTTD) algorithm was proposed to improve the BSW algorithm by controlling the chunk-size variations. We conducted a series of systematic experiments to evaluate the performances of these two algorithms. We also proposed a new improvement for the TTTD algorithm. Our new approach reduced about 6% of the running time and 50% of the large-sized chunks, and also brought other significant benefits.\",\"PeriodicalId\":333104,\"journal\":{\"name\":\"ACM SE '10\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"24\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM SE '10\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1900008.1900101\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SE '10","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1900008.1900101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A running time improvement for the two thresholds two divisors algorithm
Chunking algorithms play an important role in hash-based data de-duplication systems. The Basic Sliding Window (BSW) algorithm is the first prototype of a content-based chunking algorithm that can handle most types of data. The Two Thresholds Two Divisors (TTTD) algorithm was proposed to improve the BSW algorithm by controlling the chunk-size variations. We conducted a series of systematic experiments to evaluate the performances of these two algorithms. We also proposed a new improvement for the TTTD algorithm. Our new approach reduced about 6% of the running time and 50% of the large-sized chunks, and also brought other significant benefits.