{"title":"Resource scheduling strategy in consistency-based information-centric networking","authors":"Lan Shi, Ying Zhao, Jianhui Lv, Peng Yin","doi":"10.1109/FSKD.2017.8393182","DOIUrl":null,"url":null,"abstract":"In this paper, the information of Information-Centric Networking (ICN) based on the information consistency is classified and stored according to the classification standard. Then the resources in ICN are divided by the classification standard to calculate the category popularity. Afterward, combining the 0–1 knapsack model with the dynamic programming algorithm, we design the 0–1 knapsack resource scheduling strategy based on the category popularity. At last, the simulation experiments illustrate the rationality and superiority of resource scheduling strategy.","PeriodicalId":236093,"journal":{"name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FSKD.2017.8393182","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, the information of Information-Centric Networking (ICN) based on the information consistency is classified and stored according to the classification standard. Then the resources in ICN are divided by the classification standard to calculate the category popularity. Afterward, combining the 0–1 knapsack model with the dynamic programming algorithm, we design the 0–1 knapsack resource scheduling strategy based on the category popularity. At last, the simulation experiments illustrate the rationality and superiority of resource scheduling strategy.