{"title":"即时通讯服务行为的测量与建模","authors":"Ke Li, Xiao-liang Xu, Li Dong, Xiaoqin Song","doi":"10.1109/ICSESS.2016.7883184","DOIUrl":null,"url":null,"abstract":"Among all the applications and services currently used by the smart phone users, Instant messenger (IM) is the most actively used one, and deserves deep research of its service behavior properties. In this paper, we built an accurate traffic behavior model of the IM services, based on the huge amount of data that collected from the real smart phone users in the mobile network. Finally, an analysis and comparison of the service behavior of several typical IM applications has been provided.","PeriodicalId":175933,"journal":{"name":"2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"54 90 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Measurement and modelling of the instant messenger service behavior\",\"authors\":\"Ke Li, Xiao-liang Xu, Li Dong, Xiaoqin Song\",\"doi\":\"10.1109/ICSESS.2016.7883184\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Among all the applications and services currently used by the smart phone users, Instant messenger (IM) is the most actively used one, and deserves deep research of its service behavior properties. In this paper, we built an accurate traffic behavior model of the IM services, based on the huge amount of data that collected from the real smart phone users in the mobile network. Finally, an analysis and comparison of the service behavior of several typical IM applications has been provided.\",\"PeriodicalId\":175933,\"journal\":{\"name\":\"2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)\",\"volume\":\"54 90 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSESS.2016.7883184\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSESS.2016.7883184","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Measurement and modelling of the instant messenger service behavior
Among all the applications and services currently used by the smart phone users, Instant messenger (IM) is the most actively used one, and deserves deep research of its service behavior properties. In this paper, we built an accurate traffic behavior model of the IM services, based on the huge amount of data that collected from the real smart phone users in the mobile network. Finally, an analysis and comparison of the service behavior of several typical IM applications has been provided.
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