{"title":"Toward Preventive Network Service Management by Neural Networks","authors":"T. Kawabata, T. Kurimoto, Kimihiro Mizutani","doi":"10.1109/LANMAN.2018.8475109","DOIUrl":null,"url":null,"abstract":"In this paper, we’ve explored the possibility of expecting/avoiding degradation of network service performance of Network function virtualization (NFV) by long-term monitoring of hardware and network performances, and adjusting resource assignments of VNFs by preventive management based on Neural Networks (NNs). We’ve constructed an experimental network service, periodically inserted the specific amount of stresses to the hardware and networks systems, and let the NN learn the long-term trends of service performance changes, then try to adjust VNF resource assignment based on NN’s expectations. We evaluate and discuss the results of our experiments.","PeriodicalId":103856,"journal":{"name":"2018 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LANMAN.2018.8475109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, we’ve explored the possibility of expecting/avoiding degradation of network service performance of Network function virtualization (NFV) by long-term monitoring of hardware and network performances, and adjusting resource assignments of VNFs by preventive management based on Neural Networks (NNs). We’ve constructed an experimental network service, periodically inserted the specific amount of stresses to the hardware and networks systems, and let the NN learn the long-term trends of service performance changes, then try to adjust VNF resource assignment based on NN’s expectations. We evaluate and discuss the results of our experiments.