Titlebook: Intergenerational Ethnic Identity Construction and Transmission among Italian-Australians; Absence, Ambivalence Simone Marino Book 2020 The

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n provided utility function to express the service’s QoS, with an epidemic protocol for state information dissemination, and simple local decisions on each instance to adapt to changes in the execution conditions. These elements give the overlay robustness, flexibility, scalability and a low overhea

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Simone Marinoa thorough evaluation comparing 11 classifiers against 7 lightweight recommenders on a real Twitter dataset. Additionally, we explore data grouping as a method to reduce computational costs in a distributed setting while improving recommendation quality. We demonstrate how classifiers trained using

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Simone Marinoime. The leader election protocol uses the database as distributed shared memory. Our work enables distributed systems that already use NewSQL databases to save the operational overhead of managing an additional third-party service for leader election. Our main contribution is the design, implementa

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Simone Marino, the recommender agent autonomously pre-computes data provided by the profile agents. This recommendation process is performed with the contribution of a site agent which indicates the recommendations to device agents that visit the Web site. This way, the site agent has the only task of suitably p

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Simone Marinon this paper, we introduce the PACE healthcare architecture which uses a combination of Cloud and Peer-to-Peer technologies to model healthcare units or clinics where off-cloud data is accessible to all, and where exchange of data between remote healthcare units is also facilitated.

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Simone Marino dynamically switch to the asynchronous version when the run-time system can no longer guarantee a timely operation. The properties and algorithms of the integrated approach are presented in this paper, as well as a performance evaluation through simulation, comparing this mechanism with some classi

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Simone Marinoe development of adaptive WSN applications. As resource availability is the main concern of WSNs, the preliminary evaluation shows that our middleware approach promises a lightweight, fine-grained and communication-efficient model of application adaptation with a very limited memory and energy overh

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