{"title":"A Comparison of Monitoring Approaches for Virtualized Services at the Network Edge","authors":"Marcel Großmann, C. Schenk","doi":"10.1109/IINTEC.2018.8695277","DOIUrl":null,"url":null,"abstract":"Today the postponement of cloud services to data centers at the edge of a network, as well as a further shifting of functionality in the paradigm of fog computing to a multitude of geographically distributed nodes, necessitates a transparent resource evaluation in a heterogeneous environment to expose all available computing capabilities. A lot of monitoring tools to evaluate resource utilization already exist for cloud providers. However, most of them barely fulfill the requirements to monitor services all the way down to the devices of the Internet of Things paradigm.We present an evaluation of existing open source monitoring tools for fog computing scenarios, especially using container virtualization technology. With our results we depict the current state of the art and possible future improvements to handle small, energy-efficient devices without overburdening them.","PeriodicalId":144578,"journal":{"name":"2018 International Conference on Internet of Things, Embedded Systems and Communications (IINTEC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Internet of Things, Embedded Systems and Communications (IINTEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IINTEC.2018.8695277","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Today the postponement of cloud services to data centers at the edge of a network, as well as a further shifting of functionality in the paradigm of fog computing to a multitude of geographically distributed nodes, necessitates a transparent resource evaluation in a heterogeneous environment to expose all available computing capabilities. A lot of monitoring tools to evaluate resource utilization already exist for cloud providers. However, most of them barely fulfill the requirements to monitor services all the way down to the devices of the Internet of Things paradigm.We present an evaluation of existing open source monitoring tools for fog computing scenarios, especially using container virtualization technology. With our results we depict the current state of the art and possible future improvements to handle small, energy-efficient devices without overburdening them.