{"title":"5G电信cdn中基于用户配置文件的缓存","authors":"A. Soltani, B. Akbari, N. Mokari","doi":"10.1109/CloudNet47604.2019.9064113","DOIUrl":null,"url":null,"abstract":"With 5G networks on the horizon, providing immense radio access rate, mobile core networks will face an extremely heavy load to accommodate the users' requests. Employing Content Delivery Networks inside Mobile Networks (Telco-CDNs) is one of the promising solutions to alleviate the extra load and avoid congestion in the mobile core networks. Our goal is to exploit the users' profiles in cache replacement policies in order to improve their Quality of Experience (QoE). By using the information readily available in Mobile Network Operators (MNOs) such as user locations and their content preference, we propose a novel cache replacement strategy incorporating the users' profile information. We evaluate the proposed method compared to de-facto policies. Furthermore, we demonstrate that in scenarios involving moving users, our approach shows better performance with up to 23% more traffic saving relative to traditional methods. Finally, we investigate our method's sensitivity to profile accuracy and demonstrate its capabilities despite possible errors in profile estimations.","PeriodicalId":340890,"journal":{"name":"2019 IEEE 8th International Conference on Cloud Networking (CloudNet)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"User Profile-based Caching in 5G Telco-CDNs\",\"authors\":\"A. Soltani, B. Akbari, N. Mokari\",\"doi\":\"10.1109/CloudNet47604.2019.9064113\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With 5G networks on the horizon, providing immense radio access rate, mobile core networks will face an extremely heavy load to accommodate the users' requests. Employing Content Delivery Networks inside Mobile Networks (Telco-CDNs) is one of the promising solutions to alleviate the extra load and avoid congestion in the mobile core networks. Our goal is to exploit the users' profiles in cache replacement policies in order to improve their Quality of Experience (QoE). By using the information readily available in Mobile Network Operators (MNOs) such as user locations and their content preference, we propose a novel cache replacement strategy incorporating the users' profile information. We evaluate the proposed method compared to de-facto policies. Furthermore, we demonstrate that in scenarios involving moving users, our approach shows better performance with up to 23% more traffic saving relative to traditional methods. Finally, we investigate our method's sensitivity to profile accuracy and demonstrate its capabilities despite possible errors in profile estimations.\",\"PeriodicalId\":340890,\"journal\":{\"name\":\"2019 IEEE 8th International Conference on Cloud Networking (CloudNet)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 8th International Conference on Cloud Networking (CloudNet)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CloudNet47604.2019.9064113\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 8th International Conference on Cloud Networking (CloudNet)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CloudNet47604.2019.9064113","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
With 5G networks on the horizon, providing immense radio access rate, mobile core networks will face an extremely heavy load to accommodate the users' requests. Employing Content Delivery Networks inside Mobile Networks (Telco-CDNs) is one of the promising solutions to alleviate the extra load and avoid congestion in the mobile core networks. Our goal is to exploit the users' profiles in cache replacement policies in order to improve their Quality of Experience (QoE). By using the information readily available in Mobile Network Operators (MNOs) such as user locations and their content preference, we propose a novel cache replacement strategy incorporating the users' profile information. We evaluate the proposed method compared to de-facto policies. Furthermore, we demonstrate that in scenarios involving moving users, our approach shows better performance with up to 23% more traffic saving relative to traditional methods. Finally, we investigate our method's sensitivity to profile accuracy and demonstrate its capabilities despite possible errors in profile estimations.