监测和分析优化的云启用小细胞

J. Pérez-Romero, Vincenzo Riccobene, Florian Schmidt, O. Sallent, Elisa Jimeno, J. Fernandez, Adam Flizikowski, I. Giannoulakis, E. Kafetzakis
{"title":"监测和分析优化的云启用小细胞","authors":"J. Pérez-Romero, Vincenzo Riccobene, Florian Schmidt, O. Sallent, Elisa Jimeno, J. Fernandez, Adam Flizikowski, I. Giannoulakis, E. Kafetzakis","doi":"10.1109/CAMAD.2018.8514948","DOIUrl":null,"url":null,"abstract":"With the wide range of application scenarios and associated requirements expected for the Fifth Generation (5G) networks, the increased complexity in the management of the network will require smart mechanisms able to collect a multitude of different metrics and to analyse them to extract the knowledge that can drive an efficient decision making. For this reason, future networks are expected to incorporate telemetry and analytics tools able to support the different management procedures. In this context, this paper presents the monitoring and analytics framework that is being developed by the 5G ESSENCE project for optimising the provision of Small Cell as a Service in multi-tenant scenarios. The paper discusses the different components of the framework and illustrates its capabilities for the optimisation of the cloud resource allocation and the Radio Access Network.","PeriodicalId":173858,"journal":{"name":"2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Monitoring and Analytics for the Optimisation of Cloud Enabled Small Cells\",\"authors\":\"J. Pérez-Romero, Vincenzo Riccobene, Florian Schmidt, O. Sallent, Elisa Jimeno, J. Fernandez, Adam Flizikowski, I. Giannoulakis, E. Kafetzakis\",\"doi\":\"10.1109/CAMAD.2018.8514948\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the wide range of application scenarios and associated requirements expected for the Fifth Generation (5G) networks, the increased complexity in the management of the network will require smart mechanisms able to collect a multitude of different metrics and to analyse them to extract the knowledge that can drive an efficient decision making. For this reason, future networks are expected to incorporate telemetry and analytics tools able to support the different management procedures. In this context, this paper presents the monitoring and analytics framework that is being developed by the 5G ESSENCE project for optimising the provision of Small Cell as a Service in multi-tenant scenarios. The paper discusses the different components of the framework and illustrates its capabilities for the optimisation of the cloud resource allocation and the Radio Access Network.\",\"PeriodicalId\":173858,\"journal\":{\"name\":\"2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)\",\"volume\":\"81 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CAMAD.2018.8514948\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAMAD.2018.8514948","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

摘要

随着第五代(5G)网络的广泛应用场景和相关需求的增加,网络管理的复杂性将需要能够收集大量不同指标并对其进行分析以提取可以推动有效决策的知识的智能机制。出于这个原因,未来的网络预计将包含能够支持不同管理程序的遥测和分析工具。在此背景下,本文介绍了5G ESSENCE项目正在开发的监控和分析框架,用于优化多租户场景下小蜂窝即服务的提供。本文讨论了该框架的不同组成部分,并说明了其优化云资源分配和无线接入网的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Monitoring and Analytics for the Optimisation of Cloud Enabled Small Cells
With the wide range of application scenarios and associated requirements expected for the Fifth Generation (5G) networks, the increased complexity in the management of the network will require smart mechanisms able to collect a multitude of different metrics and to analyse them to extract the knowledge that can drive an efficient decision making. For this reason, future networks are expected to incorporate telemetry and analytics tools able to support the different management procedures. In this context, this paper presents the monitoring and analytics framework that is being developed by the 5G ESSENCE project for optimising the provision of Small Cell as a Service in multi-tenant scenarios. The paper discusses the different components of the framework and illustrates its capabilities for the optimisation of the cloud resource allocation and the Radio Access Network.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A System for Optimizing Small-Cell Deployment in 2-Tier HetNets Comparing Web Cache Implementations for Fast O(1) Updates Based on LRU, LFU and Score Gated Strategies Binary Reed-Solomon Coding Based Distributed Storage Scheme in Information-Centric Fog Networks Improving the Spectral Efficiency in Dense Heterogeneous Networks Using D2D-Assisted eICIC Considering CoMP for efficient cooperation among heterogeneous small cells in 5G networks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1