{"title":"DistributedNet: A reasonable pricing and flexible network architecture for datacenter","authors":"Yong Zhan, Du Xu, Yiqi Ou","doi":"10.1109/ICC.2014.6883946","DOIUrl":null,"url":null,"abstract":"Data Center Traffic has the nature of diversity, variability and unpredictability. Due to the varying link state, the network bandwidth value changes. Traditionally, most of the t cloud providers employ static strategies based on predicting or pre-testing tenants' traffic characteristics [5] [8] [6]. Since no perfect traffic prediction methods have been proposed so far, these static methods result in unsatisfactory resource utilization and unreasonable cost. Therefore, this paper aims at designing a decentralized resource allocation method and a dynamic pricing policy based on network state and tenant demands. We can achieve work conservation and adaptability pricing with our network architecture. The simulation results show that DistributedNet can provide performance isolation, differentiated service and min-bandwidth guarantee.","PeriodicalId":444628,"journal":{"name":"2014 IEEE International Conference on Communications (ICC)","volume":"12 6","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Communications (ICC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICC.2014.6883946","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Data Center Traffic has the nature of diversity, variability and unpredictability. Due to the varying link state, the network bandwidth value changes. Traditionally, most of the t cloud providers employ static strategies based on predicting or pre-testing tenants' traffic characteristics [5] [8] [6]. Since no perfect traffic prediction methods have been proposed so far, these static methods result in unsatisfactory resource utilization and unreasonable cost. Therefore, this paper aims at designing a decentralized resource allocation method and a dynamic pricing policy based on network state and tenant demands. We can achieve work conservation and adaptability pricing with our network architecture. The simulation results show that DistributedNet can provide performance isolation, differentiated service and min-bandwidth guarantee.