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GW elasticity in data centers: Options to adapt to changing traffic profiles in control and user plane

机译:数据中心的GW弹性:适应控制和用户平面中交通配置文件的选项

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This paper discusses different implementation options of telecommunication network GW functions like the 3GPP Evolved Packet Core (EPC) S/PGW in Cloud computing environments. It is focused on the question what benefits can be achieved if the computing resources can adapt to fluctuating traffic demands. In particular also the traffic profile may change what may lead to different GW control plane and user plane demands. Two implementation options are compared: one running a complete GW in a virtual machine and the other decomposing the GW into a control and user plane virtual machine. For this investigation a traffic model is introduced that assumes not only load changes between busy hour and times with little network load but also a different application profile during the time periods. Several example calculations give an indication on the sensitivity of different parameters to the scalability of the implementation options and resource savings.
机译:本文讨论了云计算环境中的3GPP演化分组核心(EPC)S / PGW等电信网络GW功能的不同实现选项。它专注于问题,如果计算资源适应流量需求,可以实现哪些益处。特别地,交通配置文件也可以改变可能导致不同的GW控制平面和用户平面需求的内容。比较了两个实现选项:一个在虚拟机中运行完整的GW,另一个在一个控制和用户平面虚拟机中分解GW。对于本研究,引入了交通模型,假设不仅在繁忙时段和时期之间的负载变化,而且在时间段期间也是不同的应用程序简档。有几个示例计算对不同参数的灵敏度指示了不同参数对实现选项和资源节省的可扩展性的敏感性。

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