L. V. Yovita, N. Syambas, Ian Joseph Matheus Edward
{"title":"移动命名数据网络中静态比例多类缓存性能研究","authors":"L. V. Yovita, N. Syambas, Ian Joseph Matheus Edward","doi":"10.1109/TSSA51342.2020.9310802","DOIUrl":null,"url":null,"abstract":"Regarding the caching needs of the NDN, traffic can be grouped by paying attention to storage requirements in the content store, such as how often requests come for the content in that class and how long the content in that class needs to be stored. Some previous studies explain content differentiated, but not yet analyze the performance of using the multiclass caching technique in various possible scenarios in detail. This paper will be evaluated and analyzed the performance of the multiclass cache technique with the various possible condition. Multiclass caching discussed in this paper is a caching algorithm that notices the content class distinctions and treats them differently in the content store. Each content class has a different logical cache portion in the content store. The goal of this research is to explore the performance of multiclass caching with the various condition of the system. The simulation result shows the effect of various cache portions, Zipf exponential factor, and the number of routers. It can be concluded that the multiclass cache is proven to accommodate the network performance per class and also the overall network cache hit ratio.","PeriodicalId":166316,"journal":{"name":"2020 14th International Conference on Telecommunication Systems, Services, and Applications (TSSA","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Performance of Multiclass Caching with Static Proportion in Mobile Named Data Network\",\"authors\":\"L. V. Yovita, N. Syambas, Ian Joseph Matheus Edward\",\"doi\":\"10.1109/TSSA51342.2020.9310802\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Regarding the caching needs of the NDN, traffic can be grouped by paying attention to storage requirements in the content store, such as how often requests come for the content in that class and how long the content in that class needs to be stored. Some previous studies explain content differentiated, but not yet analyze the performance of using the multiclass caching technique in various possible scenarios in detail. This paper will be evaluated and analyzed the performance of the multiclass cache technique with the various possible condition. Multiclass caching discussed in this paper is a caching algorithm that notices the content class distinctions and treats them differently in the content store. Each content class has a different logical cache portion in the content store. The goal of this research is to explore the performance of multiclass caching with the various condition of the system. The simulation result shows the effect of various cache portions, Zipf exponential factor, and the number of routers. It can be concluded that the multiclass cache is proven to accommodate the network performance per class and also the overall network cache hit ratio.\",\"PeriodicalId\":166316,\"journal\":{\"name\":\"2020 14th International Conference on Telecommunication Systems, Services, and Applications (TSSA\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 14th International Conference on Telecommunication Systems, Services, and Applications (TSSA\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TSSA51342.2020.9310802\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 14th International Conference on Telecommunication Systems, Services, and Applications (TSSA","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TSSA51342.2020.9310802","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance of Multiclass Caching with Static Proportion in Mobile Named Data Network
Regarding the caching needs of the NDN, traffic can be grouped by paying attention to storage requirements in the content store, such as how often requests come for the content in that class and how long the content in that class needs to be stored. Some previous studies explain content differentiated, but not yet analyze the performance of using the multiclass caching technique in various possible scenarios in detail. This paper will be evaluated and analyzed the performance of the multiclass cache technique with the various possible condition. Multiclass caching discussed in this paper is a caching algorithm that notices the content class distinctions and treats them differently in the content store. Each content class has a different logical cache portion in the content store. The goal of this research is to explore the performance of multiclass caching with the various condition of the system. The simulation result shows the effect of various cache portions, Zipf exponential factor, and the number of routers. It can be concluded that the multiclass cache is proven to accommodate the network performance per class and also the overall network cache hit ratio.