{"title":"Lifetime-based greedy caching approach for content-centric networking","authors":"Hu Qian, W. Muqing, Wang Dongyang, Guo Song","doi":"10.1109/ICT.2014.6845152","DOIUrl":null,"url":null,"abstract":"In Content-centric Networking (CCN), in-network caching can enhance content delivery at a global scale without requiring special infrastructure. In this paper, we propose a lifetime-based greedy caching approach (LBGC) which involves both caching decision and cache replacement. Contents are preferred to be stored in nodes with high betweenness centrality, and only expired cache items can be replaced by new arrival contents, which differs from least recently used (LRU) strategy and guarantees the caching of popular contents. Simulation results indicate that LBGC can improve the cache hit ratio and reduce average hops to get content items compared with other caching approaches.","PeriodicalId":154328,"journal":{"name":"2014 21st International Conference on Telecommunications (ICT)","volume":"10 4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 21st International Conference on Telecommunications (ICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICT.2014.6845152","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In Content-centric Networking (CCN), in-network caching can enhance content delivery at a global scale without requiring special infrastructure. In this paper, we propose a lifetime-based greedy caching approach (LBGC) which involves both caching decision and cache replacement. Contents are preferred to be stored in nodes with high betweenness centrality, and only expired cache items can be replaced by new arrival contents, which differs from least recently used (LRU) strategy and guarantees the caching of popular contents. Simulation results indicate that LBGC can improve the cache hit ratio and reduce average hops to get content items compared with other caching approaches.