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Traffic monitoring in home networks : from theory to practice

Abstract : Home networks are facing a continuous evolution and are becoming more and more complex. Their complexity has evolved according to two interrelated dimensions. On the one hand, the home network topology (devices and connectivity technologies) tends to produce more complex configurations. On the other hand, the set of services accessed through the home network is growing in a tremendous fashion. Such context has made the home network management more challenging for both Internet Service Provider (ISP) and end-users. In this dissertation, we focus on the traffic dimension of the above described complexity. Our first contribution consists on proposing an architecture for traffic monitoring in home networks. We provide a comparative study of some existing open source tools. Then, we perform a testbed evaluation of the main software components implied in our architecture. Based on the experiments results, we discuss several deployment limits and possibilities. In our second contribution, we conduct a residential traffic and usages analysis based on real trace involving more than 34 000 customers. First, we present our data collection and processing methodology. Second, we present our findings with respect to the different layers of the TCP/IP protocol stack characteristics. Then, we perform a subjective analysis across 645 of residential customers. The results of both evaluations provide a complete synthesis of residential usage patterns and applications characteristics. In our third contribution, we propose a novel scheme for real-time residential traffic classification. Our scheme, which is based on a machine learning approach called C5.0, aims to fulfil the lacks identified in the literature. At this aim, our algorithm is evaluated using several traffic inputs. Then, we detail how we implemented a lightweight probe able to capture, track and identify finely applications running in the home network. This implementation allowed us to validate our designing principles upon realistic test conditions. The obtained results show clearly the efficiency and feasibility of our solution.
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Submitted on : Friday, October 26, 2018 - 1:09:06 PM
Last modification on : Wednesday, November 3, 2021 - 8:35:34 AM
Long-term archiving on: : Sunday, January 27, 2019 - 1:46:07 PM


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  • HAL Id : tel-01906050, version 1



Zied Aouini. Traffic monitoring in home networks : from theory to practice. Networking and Internet Architecture [cs.NI]. Université de La Rochelle, 2017. English. ⟨NNT : 2017LAROS035⟩. ⟨tel-01906050⟩



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