{"title":"QoS Optimizer","authors":"Gunjae Yoon, Shineun Lee, Hoon Choi","doi":"10.1109/platcon.2016.7456819","DOIUrl":null,"url":null,"abstract":"DDS (Data Distribution Service) defines various types of QoS (Quality of Service) policy. By setting these QoS policies appropriately, various communication capabilities can be provided. However, it is difficult to find optimal QoS combination and their values for a certain system or service amongst many combinations. This study proposes a mechanism to identify a suitable QoS combination for a specific system or a communication environment. The suggested QoS Optimizer collects monitoring information or events from DDS nodes, and then analyzes them to find the best combination of QoS policies with their values. It automatically updates the QoS profile of a node based on the analysis. By repeating these procedures, the optimal QoS Profile is obtained and the performance of data communication is improved.","PeriodicalId":247342,"journal":{"name":"2016 International Conference on Platform Technology and Service (PlatCon)","volume":"149 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Platform Technology and Service (PlatCon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/platcon.2016.7456819","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
DDS (Data Distribution Service) defines various types of QoS (Quality of Service) policy. By setting these QoS policies appropriately, various communication capabilities can be provided. However, it is difficult to find optimal QoS combination and their values for a certain system or service amongst many combinations. This study proposes a mechanism to identify a suitable QoS combination for a specific system or a communication environment. The suggested QoS Optimizer collects monitoring information or events from DDS nodes, and then analyzes them to find the best combination of QoS policies with their values. It automatically updates the QoS profile of a node based on the analysis. By repeating these procedures, the optimal QoS Profile is obtained and the performance of data communication is improved.