L. Osmani, Ashwin Rao, Samu Varjonen, Eemil Lagerspetz, H. Flinck, S. Tarkoma
{"title":"Demo: Managing Sensing Resources at the Edge using Cloud OSes","authors":"L. Osmani, Ashwin Rao, Samu Varjonen, Eemil Lagerspetz, H. Flinck, S. Tarkoma","doi":"10.1109/SEC.2018.00032","DOIUrl":null,"url":null,"abstract":"Environmental sensing is an important use case for edge computing and mobile networks. Specifically, edge computing approaches and mobile networks are expected to be used by sensing applications to collect data from fixed environment monitoring stations along with the sensors mounted on mobile sensing platforms. These mobile sensing platforms are in turn expected to leverage micro-servers such as Raspberry Pis for collecting the data, performing some initial computation, and disseminating their results for further processing. In this demonstration we show that OpenStack can be used to manage containers on Rasperry Pis. This setup enables a) micro-servers at the network edge to support multitenancy like their counterparts in data centers, and b) Cloud OSes to manage the resources at the network edge along with the resources in data centers. Specifically, such a hybrid cloud setup can be useful in augmenting the computational resources in private and public clouds with their counterparts in the network edge.","PeriodicalId":376439,"journal":{"name":"2018 IEEE/ACM Symposium on Edge Computing (SEC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE/ACM Symposium on Edge Computing (SEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SEC.2018.00032","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
Environmental sensing is an important use case for edge computing and mobile networks. Specifically, edge computing approaches and mobile networks are expected to be used by sensing applications to collect data from fixed environment monitoring stations along with the sensors mounted on mobile sensing platforms. These mobile sensing platforms are in turn expected to leverage micro-servers such as Raspberry Pis for collecting the data, performing some initial computation, and disseminating their results for further processing. In this demonstration we show that OpenStack can be used to manage containers on Rasperry Pis. This setup enables a) micro-servers at the network edge to support multitenancy like their counterparts in data centers, and b) Cloud OSes to manage the resources at the network edge along with the resources in data centers. Specifically, such a hybrid cloud setup can be useful in augmenting the computational resources in private and public clouds with their counterparts in the network edge.