{"title":"基于阈值交叉理论的QoS分区优化","authors":"Xia Tian, Lu Hong","doi":"10.1109/ICCSE.2009.5228428","DOIUrl":null,"url":null,"abstract":"With the advent of various QoS technologies, various traffic classes with different QoS requirements are supported on an integrated IP network. As for the multiservice IP networks, the dominant factor in the cost of provisioning a particular service is dependent on the minimum network bandwidth allocated in the network with QoS requirements satisfied. Therefore, to optimally partition bandwidth resource, it is necessary to deduce the QoS guaranteed minimum network bandwidth for each service.","PeriodicalId":303484,"journal":{"name":"2009 4th International Conference on Computer Science & Education","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimizing QoS partition based on threshold-crossing theory\",\"authors\":\"Xia Tian, Lu Hong\",\"doi\":\"10.1109/ICCSE.2009.5228428\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the advent of various QoS technologies, various traffic classes with different QoS requirements are supported on an integrated IP network. As for the multiservice IP networks, the dominant factor in the cost of provisioning a particular service is dependent on the minimum network bandwidth allocated in the network with QoS requirements satisfied. Therefore, to optimally partition bandwidth resource, it is necessary to deduce the QoS guaranteed minimum network bandwidth for each service.\",\"PeriodicalId\":303484,\"journal\":{\"name\":\"2009 4th International Conference on Computer Science & Education\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 4th International Conference on Computer Science & Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSE.2009.5228428\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 4th International Conference on Computer Science & Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSE.2009.5228428","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimizing QoS partition based on threshold-crossing theory
With the advent of various QoS technologies, various traffic classes with different QoS requirements are supported on an integrated IP network. As for the multiservice IP networks, the dominant factor in the cost of provisioning a particular service is dependent on the minimum network bandwidth allocated in the network with QoS requirements satisfied. Therefore, to optimally partition bandwidth resource, it is necessary to deduce the QoS guaranteed minimum network bandwidth for each service.
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