Performance benchmarking of a software-based LTE SGW
Performance benchmarking of a software-based LTE SGW
复制标题
基于软件的 LTE SGW 的性能基准测试
DOI：
--
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
P. Tran
中科院分区：
文献类型：
--
作者：
Stanislav Lange;A. Nguyen;Steffen Gebert;T. Zinner;M. Jarschel;Andreas Köpsel;M. Suñé;Daniel Raumer;Sebastian Gallenmüller;G. Carle;P. Tran
网络函数虚拟化（NFV）是一个概念，旨在通过利用虚拟化技术来运行网络函数作为商业现成（COTS）硬件的软件，从而为网络运营商提供收益。相比之下，先前的解决方案依赖于每个功能的专用硬件。此类系统的性能评估通常需要每个组件的专用测试台。虚拟化网络函数（VNF）不是分析这些专有的黑盒组件，而是在COTS硬件上运行的软件，并且可以在通用测试台中研究其属性。但是，根据基础硬件，操作系统和实施，VNF的行为可能有所不同。因此，VNF性能评估的机制应类似于软件的基准测试，在该基准测试中，通过将它们应用于预定义的测试用例和场景，可以比较不同的实现。这项工作介绍了迈向VNF基准测试框架的第一步。给定两种用作LTE服务网关（SGW）的VNF的不同实现，可以确定影响因素和关键绩效指标，并绘制两种机制之间的比较。
Network Functions Virtualization (NFV) is a concept that aims at providing network operators with benefits in terms of cost, flexibility, and vendor independence by utilizing virtualization techniques to run network functions as software on commercial off-the-shelf (COTS) hardware. In contrast, prior solutions rely on specialized hardware for each function. Performance evaluation of such systems usually requires a dedicated testbed for each individual component. Rather than analyzing these proprietary black-box components, Virtualized Network Functions (VNFs) are pieces of software that run on COTS hardware and whose properties can be investigated in a generic testbed. However, depending on the underlying hardware, operating system, and implementation, VNFs might behave differently. Therefore, mechanisms for the performance evaluation of VNFs should be similar to benchmarking of software, where different implementations are compared by applying them to predefined test cases and scenarios. This work presents a first step towards a benchmarking framework for VNFs. Given two different implementations of a VNF that acts as LTE Serving Gateway (SGW), influence factors and key performance indicators are identified and a comparison between the two mechanisms is drawn.
DOI：
10.1109/cloudnet.2014.6968979
发表时间：
2014-12
期刊：
2014 IEEE 3rd International Conference on Cloud Networking (CloudNet)
影响因子：
--
作者：
Paul Emmerich;Daniel Raumer;F. Wohlfart;G. Carle
通讯作者：
Paul Emmerich;Daniel Raumer;F. Wohlfart;G. Carle