Deborah Falcone

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Online social networks such as Facebook and Twitter have started allowing users to tag their posts with geographical coordinates collected through the GPS interface of users smartphones. While this information is quite useful and already indicative of user behavior, it also lacks some semantics about the type of place the user is (e.g., restaurant, museum,(More)
In this paper we present an Energy-Aware Scheduling strategy that assigns computational tasks over a network of mobile devices optimizing the energy usage. The main design principle of our scheduler is to find a task allocation that prolongs network lifetime by balancing the energy load among the devices. We have evaluated the scheduler using a prototype of(More)
The increasing computing power of mobile devices has opened the way to perform analysis and mining of data in many real-life mobile scenarios, such as body-health monitoring, vehicle control, and wireless security systems. A key aspect to enable data analysis and mining over mobile devices is ensuring energy efficiency, as mobile devices are battery-power(More)
Mobile computing emerged in recent years as a primary technological area because of the large increase of computing capability and connectivity of mobile devices. This trend has led to the exponential growth of mobile applications and pervasive digital data, even if it requires facing many research challenges. My main research goal is the investigation of(More)
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