Lucas DiCioccio

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This paper presents the design and evaluation of HomeNet Profiler, a tool that runs on an end-system in the home to collect data from home networks. HomeNet Profiler collects a wide range of measurements including: the set of devices, the set of services (with UPnP and Zeroconf), and the characteristics of the WiFi environment. Since the release of HomeNet(More)
This paper performs controlled experiments to analyze the performance of home networks. We show that the home network has a significant impact on end-to-end performance. For example, watching TV can double the time to download a file; and deploying a wireless network significantly increases round-trip times. Despite its impact on end-to-end performance,(More)
Network measurement practitioners increasingly focus their interest on understanding and debugging home networks. The Universal Plug and Play (UPnP) technology holds promise as a highly efficient way to collect and leverage measurement data and configuration settings available from UPnP-enabled devices found in home networks. Unfortunately, UPnP proves less(More)
This paper designs HomeNet Profiler, a software that runs on any computer connected inside a home network, to collect a wide range of measurements about home networks including the set of devices, the set of services (with UPnP and Zeroconf), and the characteristics of the WiFi environment. To attract a larger number of users, HomeNet Profiler runs one-shot(More)
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