{"title":"Compression of pending interest table with Bloom filter in content centric network","authors":"Zhaogeng Li, J. Bi, Sen Wang, Xiaoke Jiang","doi":"10.1145/2377310.2377326","DOIUrl":null,"url":null,"abstract":"We propose compressed PIT structure based on Bloom Filter. And we argue that United Bloom Filter is better than Counting Bloom Filter in the PIT compression.","PeriodicalId":409750,"journal":{"name":"International Conference of Future Internet","volume":"110 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference of Future Internet","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2377310.2377326","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 23
Abstract
We propose compressed PIT structure based on Bloom Filter. And we argue that United Bloom Filter is better than Counting Bloom Filter in the PIT compression.