{"title":"多云环境下云原生网络功能的自动发放","authors":"Shiku Hirai, Takuya Tojo, S. Seto, S. Yasukawa","doi":"10.1109/netsoft48620.2020.9165343","DOIUrl":null,"url":null,"abstract":"Cloud-native Network Functions (CNFs), which are an advanced form of Virtualized Network Functions (VNFs), are expected to optimize network slicing and make the development and deployment cycle of network services faster than VNFs by using a container-based microservices architecture. However, to satisfy the requirements for high reliability and performance assurance unique to network services, additional functions specific to the Kubernetes-based CNF platform are required. In this demonstration, we propose an automated CNF provisioning engine that optimizes the hardware resources of CNFs in multi-cloud environments on the basis of performance prediction and demonstrate its effectiveness by implementing it on Kubernetes as a core function of the future CNF platform.","PeriodicalId":239961,"journal":{"name":"2020 6th IEEE Conference on Network Softwarization (NetSoft)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Automated Provisioning of Cloud-Native Network Functions in Multi-Cloud Environments\",\"authors\":\"Shiku Hirai, Takuya Tojo, S. Seto, S. Yasukawa\",\"doi\":\"10.1109/netsoft48620.2020.9165343\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cloud-native Network Functions (CNFs), which are an advanced form of Virtualized Network Functions (VNFs), are expected to optimize network slicing and make the development and deployment cycle of network services faster than VNFs by using a container-based microservices architecture. However, to satisfy the requirements for high reliability and performance assurance unique to network services, additional functions specific to the Kubernetes-based CNF platform are required. In this demonstration, we propose an automated CNF provisioning engine that optimizes the hardware resources of CNFs in multi-cloud environments on the basis of performance prediction and demonstrate its effectiveness by implementing it on Kubernetes as a core function of the future CNF platform.\",\"PeriodicalId\":239961,\"journal\":{\"name\":\"2020 6th IEEE Conference on Network Softwarization (NetSoft)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 6th IEEE Conference on Network Softwarization (NetSoft)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/netsoft48620.2020.9165343\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 6th IEEE Conference on Network Softwarization (NetSoft)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/netsoft48620.2020.9165343","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automated Provisioning of Cloud-Native Network Functions in Multi-Cloud Environments
Cloud-native Network Functions (CNFs), which are an advanced form of Virtualized Network Functions (VNFs), are expected to optimize network slicing and make the development and deployment cycle of network services faster than VNFs by using a container-based microservices architecture. However, to satisfy the requirements for high reliability and performance assurance unique to network services, additional functions specific to the Kubernetes-based CNF platform are required. In this demonstration, we propose an automated CNF provisioning engine that optimizes the hardware resources of CNFs in multi-cloud environments on the basis of performance prediction and demonstrate its effectiveness by implementing it on Kubernetes as a core function of the future CNF platform.