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A Large-Scale NFV-Based Emulation Platform for Smart Identifier Network

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摘要 Network emulation is significant because of its ability to study network architecture running on real operating system and thewhole protocol stack. However, conservatively allocating a physical network equipment for a corresponding emulation network iscostly, scale-limited and rigid. In this paper, based on network function virtualization(NFV), we present a large-scale emulationplatform for the Smart Identifier Network(SINET). We pool and virtualize all hardware resources by lightweight virtualization technology. Controllers and orchestrators are designed to manage emulation and collect monitored SINET emulation results. The controllers are used to implement dynamically synchronously management for large-scale emulation network and link characteristics.The orchestrators are utilized to achieve overload avoidance and green computing with the Xiao's dynamic resource allocation algorithm. We implement flexibly programmable and dynamically configurable emulation. Network emulation is significant because of its ability to study network architecture running on real operating system and thewhole protocol stack. However, conservatively allocating a physical network equipment for a corresponding emulation network iscostly, scale-limited and rigid. In this paper, based on network function virtualization(NFV), we present a large-scale emulationplatform for the Smart Identifier Network(SINET). We pool and virtualize all hardware resources by lightweight virtualization technology. Controllers and orchestrators are designed to manage emulation and collect monitored SINET emulation results. The controllers are used to implement dynamically synchronously management for large-scale emulation network and link characteristics.The orchestrators are utilized to achieve overload avoidance and green computing with the Xiao's dynamic resource allocation algorithm. We implement flexibly programmable and dynamically configurable emulation.
出处 《ZTE Communications》 2017年第3期2-7,共6页 中兴通讯技术(英文版)
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