{"title":"Efficient Name Lookup Scheme Based on Hash and Character Trie in Named Data Networking","authors":"Yunsong Tan, Shuhua Zhu","doi":"10.1109/WISA.2015.72","DOIUrl":null,"url":null,"abstract":"Name lookup, as a key function of routers for forwarding and filtering packets in NDN, has confronted serious memory efficiency problem. To solve the problem, this paper presents an efficient NDN name lookup scheme -- Split Name character Trie(SNT). It first decomposed a name into components, which were then hashed to construct a trie. After that, the trie would be split into two smaller ones. When operating name lookup, a name would be split into two parts to conduct lookup on the two tries independently. Experimental results show that SNT supports longest prefix match very well. It can reduce 30% ~ 38% memory cost by component hash and can reduce 30% ~ 33% memory cost further by splitting trie. Despite of the extra memory cost of maintaining hash table, it still improves general memory efficiency by 23% ~ 49%.","PeriodicalId":198938,"journal":{"name":"2015 12th Web Information System and Application Conference (WISA)","volume":"57 11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 12th Web Information System and Application Conference (WISA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WISA.2015.72","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Name lookup, as a key function of routers for forwarding and filtering packets in NDN, has confronted serious memory efficiency problem. To solve the problem, this paper presents an efficient NDN name lookup scheme -- Split Name character Trie(SNT). It first decomposed a name into components, which were then hashed to construct a trie. After that, the trie would be split into two smaller ones. When operating name lookup, a name would be split into two parts to conduct lookup on the two tries independently. Experimental results show that SNT supports longest prefix match very well. It can reduce 30% ~ 38% memory cost by component hash and can reduce 30% ~ 33% memory cost further by splitting trie. Despite of the extra memory cost of maintaining hash table, it still improves general memory efficiency by 23% ~ 49%.