{"title":"分散的Kubernetes联邦控制平面","authors":"L. Larsson, H. Gustafsson, C. Klein, E. Elmroth","doi":"10.1109/UCC48980.2020.00056","DOIUrl":null,"url":null,"abstract":"This position paper presents our vision for a distributed decentralized Kubernetes federation control plane. The goal is to support federations consisting of thousands of Kubernetes clusters, in order to support next generation edge cloud use-cases. Our review of the literature and experience with the current centralized state of the art Kubernetes federation controllers shows that it is unable to scale to a sufficient size, and centralization constitutes an unacceptable single point of failure. Our proposed system maintains cluster autonomy, allows clusters to collaboratively handle error conditions, and scales to support edge cloud use-cases. Our approach is based on a shared database of conflict-free replicated data types (CRDTs), shared among all clusters in the federation, and algorithms that make use of the data.","PeriodicalId":125849,"journal":{"name":"2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Decentralized Kubernetes Federation Control Plane\",\"authors\":\"L. Larsson, H. Gustafsson, C. Klein, E. Elmroth\",\"doi\":\"10.1109/UCC48980.2020.00056\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This position paper presents our vision for a distributed decentralized Kubernetes federation control plane. The goal is to support federations consisting of thousands of Kubernetes clusters, in order to support next generation edge cloud use-cases. Our review of the literature and experience with the current centralized state of the art Kubernetes federation controllers shows that it is unable to scale to a sufficient size, and centralization constitutes an unacceptable single point of failure. Our proposed system maintains cluster autonomy, allows clusters to collaboratively handle error conditions, and scales to support edge cloud use-cases. Our approach is based on a shared database of conflict-free replicated data types (CRDTs), shared among all clusters in the federation, and algorithms that make use of the data.\",\"PeriodicalId\":125849,\"journal\":{\"name\":\"2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC)\",\"volume\":\"72 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/UCC48980.2020.00056\",\"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 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UCC48980.2020.00056","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This position paper presents our vision for a distributed decentralized Kubernetes federation control plane. The goal is to support federations consisting of thousands of Kubernetes clusters, in order to support next generation edge cloud use-cases. Our review of the literature and experience with the current centralized state of the art Kubernetes federation controllers shows that it is unable to scale to a sufficient size, and centralization constitutes an unacceptable single point of failure. Our proposed system maintains cluster autonomy, allows clusters to collaboratively handle error conditions, and scales to support edge cloud use-cases. Our approach is based on a shared database of conflict-free replicated data types (CRDTs), shared among all clusters in the federation, and algorithms that make use of the data.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
