{"title":"合作网络的知识共享框架","authors":"Saket Chawla, B. S. Manoj","doi":"10.1109/ANTS.2012.6524234","DOIUrl":null,"url":null,"abstract":"Learning the network environment in a quick manner offers great operational rewards. Therefore, it is important for future network devices to share critical control information among them. In this paper, we propose a comprehensive framework for exchange of control information between nodes located in a local area. Our proposed framework enables hosts to quickly gather the operational parameters, such as the maximum supported congestion window or transmission rate and round-trip time supported by the network for a communication session, from its peers. We present results from a prototype framework and from the results we find that our framework allows key control information exchange between peer nodes in the local network, thereby, improving network performance.","PeriodicalId":340711,"journal":{"name":"2012 IEEE International Conference on Advanced Networks and Telecommunciations Systems (ANTS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Knowledge sharing framework for cooperative networks\",\"authors\":\"Saket Chawla, B. S. Manoj\",\"doi\":\"10.1109/ANTS.2012.6524234\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Learning the network environment in a quick manner offers great operational rewards. Therefore, it is important for future network devices to share critical control information among them. In this paper, we propose a comprehensive framework for exchange of control information between nodes located in a local area. Our proposed framework enables hosts to quickly gather the operational parameters, such as the maximum supported congestion window or transmission rate and round-trip time supported by the network for a communication session, from its peers. We present results from a prototype framework and from the results we find that our framework allows key control information exchange between peer nodes in the local network, thereby, improving network performance.\",\"PeriodicalId\":340711,\"journal\":{\"name\":\"2012 IEEE International Conference on Advanced Networks and Telecommunciations Systems (ANTS)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE International Conference on Advanced Networks and Telecommunciations Systems (ANTS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANTS.2012.6524234\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Conference on Advanced Networks and Telecommunciations Systems (ANTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANTS.2012.6524234","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Knowledge sharing framework for cooperative networks
Learning the network environment in a quick manner offers great operational rewards. Therefore, it is important for future network devices to share critical control information among them. In this paper, we propose a comprehensive framework for exchange of control information between nodes located in a local area. Our proposed framework enables hosts to quickly gather the operational parameters, such as the maximum supported congestion window or transmission rate and round-trip time supported by the network for a communication session, from its peers. We present results from a prototype framework and from the results we find that our framework allows key control information exchange between peer nodes in the local network, thereby, improving network performance.