{"title":"BALANCING SERVICE PROVIDER AND END-USER REQUEST INTEREST IN AN SDN-ORIENTED DATA CENTRE NETWORK","authors":"A. T. Akinola, M. Adigun","doi":"10.21817/indjcse/2023/v14i4/231404107","DOIUrl":null,"url":null,"abstract":"The problem of network flow interference within a data centre network has been addressed by several scholars in the literature with a number of solutions provided. However, many of such solutions does not take into cognisance the relative cost effect of the proposals on the service providers and end-users. The solutions are either on the benefit of the service providers at the expense of the end-users and vice versa. We proposed a Multi-Criteria Optimization Crosspoint Queue which was able to address the traffic flow interference that results into both network instability and unbalanced provider-user relationship. The experimental results showed that the proposed approach is able to maintain a stable specified QoS metric as a single-parameter amidst several QoS and likewise balanced the cost effects on either side of the stakeholders. The solution is relevant to the network organization in prioritizing network quality to adapt to changing business requirements and market demands.","PeriodicalId":52250,"journal":{"name":"Indian Journal of Computer Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian Journal of Computer Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21817/indjcse/2023/v14i4/231404107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
The problem of network flow interference within a data centre network has been addressed by several scholars in the literature with a number of solutions provided. However, many of such solutions does not take into cognisance the relative cost effect of the proposals on the service providers and end-users. The solutions are either on the benefit of the service providers at the expense of the end-users and vice versa. We proposed a Multi-Criteria Optimization Crosspoint Queue which was able to address the traffic flow interference that results into both network instability and unbalanced provider-user relationship. The experimental results showed that the proposed approach is able to maintain a stable specified QoS metric as a single-parameter amidst several QoS and likewise balanced the cost effects on either side of the stakeholders. The solution is relevant to the network organization in prioritizing network quality to adapt to changing business requirements and market demands.