Matteo Sammarco

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—In the Internet, P2P application performance may be determined by the interaction of two independent dynamics: on the one hand, by the end-to-end control policies applied at the P2P application layer (L7); on the other hand, by Traffic Engineering (TE) decisions taken at the network level (L3). To study L7/L3 interaction in realistic settings, we present a(More)
Existing measurement techniques for IEEE~802.11-based networks assume that the higher the density of monitors in the target area, the higher the quality of the measure. This assumption is, however, too strict if we consider the cost involved in monitor installation and the necessary time to collect and merge all traces. In this paper, we investigate the(More)
—Disseminating large files in opportunistic networks requires splitting the content into smaller pieces in order to leverage short contacts between nodes on the move. A negative consequence of content chopping is that it may generate significant overhead, as nodes have to exchange more signaling information to determine which pieces the neighbor misses. In(More)
In this work we propose ParkMaster, a low-cost crowdsourcing architecture which exploits machine learning techniques and vision algorithms to evaluate parking availability in cities. While the user is normally driving ParkMaster enables off the shelf smartphones to collect information about the presence of parked vehicles by running image recognition(More)
Mobile data traffic is set to triple in three years from now according to Cisco. This trend is a real challenge for operators since wireless capacity is bounded. To boost network capacity further, operators think about paradigm-shifting solutions to relieve their infrastructures. Recently, <i>data offloading</i> received increasing attention from the(More)
Over the latest few years, we have witnessed the widespread diffusion of smartphones, tablets, and other mobile devices with diverse networking and multimedia capabilities. Major operators in the US and Europe are experiencing severe problems in coping with the mobile data traffic generated by their users. The main reason is that the trend of traffic demand(More)
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