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In this paper, we present the 5G3E (5G End-to-End Emulation) dataset created to support 5G network automation. The dataset contains thousands of time-series, built at different sampling rates, related to the observation of multiple resources involved in 5G network operation: radio, computing and network resources. The variety of collected features ranges from radio front-end metrics to physical server operating system and network function metrics. We describe the testbed we deployed to support the creation of traffic starting from real traffic traces of a commercial network operator.

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Nowadays, the rapid growth of Cloud computing services is starting to overload the network communication infrastructures. This evolution reveals missing blocks of the current Internet Protocol architecture, in particular in terms of addressing and locator-identifier mapping control-plane. In this paper, we give a short overview of a solution that handles virtual-machines migration over the Internet based on the Locator/Identifier Separation Protocol, object of a technical demonstration. © 2012 IEEE