Predictive Container Auto-Scaling for Cloud-Native Applications
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zhao, Hanqing | - |
dc.contributor.author | Lim, Hyunwoo | - |
dc.contributor.author | Hanif, Muhammad | - |
dc.contributor.author | Lee, Choonhwa | - |
dc.date.accessioned | 2022-07-09T03:40:16Z | - |
dc.date.available | 2022-07-09T03:40:16Z | - |
dc.date.created | 2021-05-13 | - |
dc.date.issued | 2019-10 | - |
dc.identifier.issn | 2162-1233 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/146997 | - |
dc.description.abstract | In the past decade, cloud computing has become an essential technology in many areas such as Internet of Things, artificial intelligence, and social media. In the cloud-computing environment, the auto-scaling capability of services is important to optimize cloud operating costs and Quality of Service. Therefore, there is a need for auto-scaling technology that is able to dynamically adjust resource allocation to cloud services based on incoming workload. In this paper, we present a predictive auto-scaler for Kubernetes clusters to improve the efficiency of container auto-scaling. Being based on a predictive algorithm, our auto-scaling scheme simplifies the architecture of existing auto-scaling system for more efficient service offerings. In addition, we present experimental evaluation results of our proposed scheme. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | Predictive Container Auto-Scaling for Cloud-Native Applications | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Choonhwa | - |
dc.identifier.doi | 10.1109/ICTC46691.2019.8939932 | - |
dc.identifier.scopusid | 2-s2.0-85078282912 | - |
dc.identifier.wosid | 000524690200305 | - |
dc.identifier.bibliographicCitation | ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future, pp.1280 - 1282 | - |
dc.relation.isPartOf | ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future | - |
dc.citation.title | ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future | - |
dc.citation.startPage | 1280 | - |
dc.citation.endPage | 1282 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.subject.keywordPlus | Cloud computing | - |
dc.subject.keywordPlus | Operating costs | - |
dc.subject.keywordPlus | Quality of service | - |
dc.subject.keywordPlus | Auto-Scaling | - |
dc.subject.keywordPlus | Cloud computing environments | - |
dc.subject.keywordPlus | Experimental evaluation | - |
dc.subject.keywordPlus | Microservices | - |
dc.subject.keywordPlus | Predictive algorithms | - |
dc.subject.keywordPlus | Scaling capability | - |
dc.subject.keywordPlus | Scaling technology | - |
dc.subject.keywordPlus | Service offering | - |
dc.subject.keywordPlus | Containers | - |
dc.subject.keywordAuthor | Auto-Scaling | - |
dc.subject.keywordAuthor | Cloud-native Application | - |
dc.subject.keywordAuthor | Container | - |
dc.subject.keywordAuthor | Microservices | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/8939932 | - |
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