{"title":"MOE-A framework integrating network performance monitoring, optimization and evaluation","authors":"Fuliang Li, Jiahai Yang, Xingwei Wang","doi":"10.1109/APNOMS.2015.7275437","DOIUrl":null,"url":null,"abstract":"Due to network dynamics, performance tuning is often indispensable in network management. In this paper, we propose MOE, a framework integrating network performance monitoring, optimization and evaluation. This is a trial towards the top-down and systematic management of network performance. We validate MOE based on a typical scenario in the real network environment. Results show that MOE can collect many kinds of network information, based on which it could conduct performance tuning automatically. In addition, MOE has the ability of evaluating the effect during and after performance tuning. Evaluation results are further analyzed and could fed back to provide positive advices to minimize the influence caused by network adjustments and maximize the performance profits.","PeriodicalId":269263,"journal":{"name":"2015 17th Asia-Pacific Network Operations and Management Symposium (APNOMS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 17th Asia-Pacific Network Operations and Management Symposium (APNOMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APNOMS.2015.7275437","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
Due to network dynamics, performance tuning is often indispensable in network management. In this paper, we propose MOE, a framework integrating network performance monitoring, optimization and evaluation. This is a trial towards the top-down and systematic management of network performance. We validate MOE based on a typical scenario in the real network environment. Results show that MOE can collect many kinds of network information, based on which it could conduct performance tuning automatically. In addition, MOE has the ability of evaluating the effect during and after performance tuning. Evaluation results are further analyzed and could fed back to provide positive advices to minimize the influence caused by network adjustments and maximize the performance profits.