{"title":"基于移动代理的可扩展家庭网络交互模型","authors":"Jeong-Joon Yoo, Dong-Ik Lee","doi":"10.1109/PERCOM.2003.1192787","DOIUrl":null,"url":null,"abstract":"Cyber apartment is a home network consisting of hundreds of homes and/or offices. In this home network system, hundreds of processes are simultaneously instantiated. In such a case, a home gateway that connects one home network with other home networks results in a bottleneck. To solve this problem, the remote interactions and network load between home networks must be reduced. We propose the use of mobile agents, referred to as a remote service integration agent and a content adaptation agent, in order to reduce the remote interactions and the network load, respectively. We show that our mobile agent models are effective methods for a scalable home network through a comparison with a traditional client server model.","PeriodicalId":230787,"journal":{"name":"Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003).","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Scalable home network interaction model based on mobile agents\",\"authors\":\"Jeong-Joon Yoo, Dong-Ik Lee\",\"doi\":\"10.1109/PERCOM.2003.1192787\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cyber apartment is a home network consisting of hundreds of homes and/or offices. In this home network system, hundreds of processes are simultaneously instantiated. In such a case, a home gateway that connects one home network with other home networks results in a bottleneck. To solve this problem, the remote interactions and network load between home networks must be reduced. We propose the use of mobile agents, referred to as a remote service integration agent and a content adaptation agent, in order to reduce the remote interactions and the network load, respectively. We show that our mobile agent models are effective methods for a scalable home network through a comparison with a traditional client server model.\",\"PeriodicalId\":230787,\"journal\":{\"name\":\"Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003).\",\"volume\":\"86 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-03-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003).\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PERCOM.2003.1192787\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003).","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PERCOM.2003.1192787","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Scalable home network interaction model based on mobile agents
Cyber apartment is a home network consisting of hundreds of homes and/or offices. In this home network system, hundreds of processes are simultaneously instantiated. In such a case, a home gateway that connects one home network with other home networks results in a bottleneck. To solve this problem, the remote interactions and network load between home networks must be reduced. We propose the use of mobile agents, referred to as a remote service integration agent and a content adaptation agent, in order to reduce the remote interactions and the network load, respectively. We show that our mobile agent models are effective methods for a scalable home network through a comparison with a traditional client server model.
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