{"title":"Adaptive Containerization for Microservices in Distributed Cloud Systems","authors":"N. Keni, A. Kak","doi":"10.1109/CCNC46108.2020.9045634","DOIUrl":null,"url":null,"abstract":"The traditional monolithic on-premises model of application deployment is fast being replaced by a cloud-based microservices paradigm, driven in part by the rise of numerous cloud infrastructure providers providing seamless access to a variety of computing hardware, and the need for applications to serve an ever-increasing audience necessitating scalability. While container-based virtualization has been the preferred method of microservice deployment, Cloud Consumers have not had much opportunity for cost and resource optimization thus far. To this end, this paper introduces a resource allocation framework for the containerized deployment of microservices, called Adaptive Containerization for Microservices in Distributed Cloud Systems, which helps reduce operating costs while ensuring a minimum guaranteed level of service. Further, a variety of performance evaluation metrics have been provided to reinforce the validity of the proposed framework.","PeriodicalId":443862,"journal":{"name":"2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCNC46108.2020.9045634","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The traditional monolithic on-premises model of application deployment is fast being replaced by a cloud-based microservices paradigm, driven in part by the rise of numerous cloud infrastructure providers providing seamless access to a variety of computing hardware, and the need for applications to serve an ever-increasing audience necessitating scalability. While container-based virtualization has been the preferred method of microservice deployment, Cloud Consumers have not had much opportunity for cost and resource optimization thus far. To this end, this paper introduces a resource allocation framework for the containerized deployment of microservices, called Adaptive Containerization for Microservices in Distributed Cloud Systems, which helps reduce operating costs while ensuring a minimum guaranteed level of service. Further, a variety of performance evaluation metrics have been provided to reinforce the validity of the proposed framework.