F. Volpato, Madalena Pereira da Silva, A. Gonçalves, M. Castro, M. Dantas
{"title":"Provisioning and Delivering Sepsis Data Supported by an Enhanced SDN Environment","authors":"F. Volpato, Madalena Pereira da Silva, A. Gonçalves, M. Castro, M. Dantas","doi":"10.1109/CBMS.2017.58","DOIUrl":null,"url":null,"abstract":"Medical applications, along with Information and Communication Technology (ICT), have contributed with many solutions to support the treatment of SEPSIS. However, there are few solutions for the transport of sepsis data with Quality of Service (QoS). In this paper we propose a self-manageable architecture for the provision and delivery of sepsis data using Software-Defined Networking (SDN). To evaluate our proposal, we conducted our experiments in the laboratory. The results are promising because our solution with SDN is able to improve performance, ensure QoS and prioritize sepsis flows, when compared to TCP/IP architectures.","PeriodicalId":141105,"journal":{"name":"2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CBMS.2017.58","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Medical applications, along with Information and Communication Technology (ICT), have contributed with many solutions to support the treatment of SEPSIS. However, there are few solutions for the transport of sepsis data with Quality of Service (QoS). In this paper we propose a self-manageable architecture for the provision and delivery of sepsis data using Software-Defined Networking (SDN). To evaluate our proposal, we conducted our experiments in the laboratory. The results are promising because our solution with SDN is able to improve performance, ensure QoS and prioritize sepsis flows, when compared to TCP/IP architectures.