基于软件的网络功能的可扩展自动缩放引擎(AE)

G. Carella, Michael Pauls, L. Grebe, T. Magedanz
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引用次数: 17

摘要

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