Matteo Sammarco

Learn More
1. CONTEXT AND MOTIVATION Enabling content sharing among mobile users is a promising application for opportunistic networks. Clearly, collo-cated people are likely to share mutual interests. In this context, disseminating contents through opportunistic communications could be more efficient than passing through central servers. We implemented PACS(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)
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)
—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)
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)
—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)
Deploying a large-scale passive WLAN monitoring system raises an important issue: completeness. The trivial approach would increase the number of monitors until the merged trace becomes complete. The problem is the number of monitors required , which can drastically impact on the system scalability. The more traces to merge, the more CPU intensive becomes(More)
  • 1