An extensible Autoscaling Engine (AE) for Software-based Network Functions

G. Carella, Michael Pauls, L. Grebe, T. Magedanz
{"title":"An extensible Autoscaling Engine (AE) for Software-based Network Functions","authors":"G. Carella, Michael Pauls, L. Grebe, T. Magedanz","doi":"10.1109/NFV-SDN.2016.7919501","DOIUrl":null,"url":null,"abstract":"With the rapid migration towards Software-based Networks, Telco Operators are modifying their traditional network infrastructures in order to reduce the complexity in managing Network Services (NS). Being able to cope with on-demand traffic increase is one of the key principles taken from the Cloud Computing domain and extended to the Telco one by the ETSI Network Function Virtualization (NFV) initiative. However, due to the novelty of this paradigm in the Telco domain, the landscape of fully-interoperable frameworks is rather limited and even more complex is their extensibility for supporting new functionalities. None of the existing solutions nowadays provide mechanisms for dynamically adapt the NS topology based on their Runtime Key Performance Indicators (KPIs), supporting the requirements requested by the ETSI NFV specification. Therefore, this article presents an Autoscaling Engine (AE) capable of dynamically adapting a NS based on policies provided by the Operator and integrated in the ETSI NFV information model. Its design has been realized considering the NFV requirements, and has been integrated in the ETSI NFV Architecture as additional functional element. Its implementation is part of an existing NFV-compliant framework, Open Baton, and made available to the community as open source. An evaluation of the implemented concept shows that the proposed solution increases the reliability, stability and resource efficiency of NSs.","PeriodicalId":448203,"journal":{"name":"2016 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NFV-SDN.2016.7919501","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17

Abstract

With the rapid migration towards Software-based Networks, Telco Operators are modifying their traditional network infrastructures in order to reduce the complexity in managing Network Services (NS). Being able to cope with on-demand traffic increase is one of the key principles taken from the Cloud Computing domain and extended to the Telco one by the ETSI Network Function Virtualization (NFV) initiative. However, due to the novelty of this paradigm in the Telco domain, the landscape of fully-interoperable frameworks is rather limited and even more complex is their extensibility for supporting new functionalities. None of the existing solutions nowadays provide mechanisms for dynamically adapt the NS topology based on their Runtime Key Performance Indicators (KPIs), supporting the requirements requested by the ETSI NFV specification. Therefore, this article presents an Autoscaling Engine (AE) capable of dynamically adapting a NS based on policies provided by the Operator and integrated in the ETSI NFV information model. Its design has been realized considering the NFV requirements, and has been integrated in the ETSI NFV Architecture as additional functional element. Its implementation is part of an existing NFV-compliant framework, Open Baton, and made available to the community as open source. An evaluation of the implemented concept shows that the proposed solution increases the reliability, stability and resource efficiency of NSs.
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
基于软件的网络功能的可扩展自动缩放引擎(AE)
随着软件网络的快速发展,电信运营商正在对其传统的网络基础设施进行改造,以降低网络服务管理的复杂性。能够应付随需应变的流量增长是来自云计算领域的关键原则之一,并通过ETSI网络功能虚拟化(NFV)计划扩展到电信领域。然而,由于这种范式在电信领域的新颖性,完全可互操作框架的前景相当有限,更复杂的是它们支持新功能的可扩展性。目前,现有的解决方案都没有提供基于运行时关键性能指标(kpi)动态调整NS拓扑的机制,以支持ETSI NFV规范所要求的要求。因此,本文提出了一种自动缩放引擎(AE),该引擎能够根据运营商提供的策略动态调整NS,并集成到ETSI NFV信息模型中。其设计考虑了NFV需求,并作为附加功能元素集成到ETSI NFV架构中。它的实现是现有nfv兼容框架Open Baton的一部分,并作为开源提供给社区。对实现概念的评估表明,提出的解决方案提高了NSs的可靠性、稳定性和资源效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
EPLE: An Efficient Passive Lightweight Estimator for SDN packet loss measurement SFC-Checker: Checking the correct forwarding behavior of Service Function chaining An extensible Autoscaling Engine (AE) for Software-based Network Functions Efficient service auto-discovery for next generation network slicing architecture Performance evaluation and tuning of Virtual Infrastructure Managers for (Micro) Virtual Network Functions
×
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