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Titlebook: Internet and Distributed Computing Systems; 8th International Co Giuseppe Di Fatta,Giancarlo Fortino,Antonio Guerri Conference proceedings

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楼主: FERN
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Mining Regularities in Body Sensor Network Datae set of periodically/regularly occurring patterns in BSN data stream based on a user-specified periodicity/regularity threshold for the data and the subject. Various experiments were carried on both real and synthetic data to validate the efficiency of the proposed regular pattern mining technique as compared to state-of-the-art approaches.
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Review of Replication Techniques for Distributed Systems (BSG) and Neighbor Replication on Grid (NRG) by comparing and formalizing its communication costs and availabilities analysis based on .-out-of-. model. Each of these techniques presents their own merits and demerits which form the subject matter of this review.
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Intra Smart Grid Management Frameworks for Control and Energy Saving in Buildingsntra-Grid Management Framework), and a Dynamic Energy Scheduler with local control on sensors and actuators, namely the ITESS (IoTLAB Energy Scheduling System). The integrated system allows the users to manage whole buildings applying Dynamic Energy Schedulers for different environments.
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Urban Crowd Steering: An Overviewople. In particular, this paper has the goal of motivating the general problem of crowd steering, identifying the technologies that can be put to play to enforce crowd steering strategies, and presenting the possible strategies that can be adopted to steer people movements, other than the key research challenges.
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0302-9743 rks, parallel and distributed computing, advanced networking, smart cities and smart buildings, Big Data and social networks.978-3-319-23236-2978-3-319-23237-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Autonomic and Cognitive Architectures for the Internet of Thingshat the development of such an ecosystem entails require a marked intervention on the current Internet architectural frameworks and models, primarily as regards the management function. Pointing in this direction, the most relevant autonomic and cognitive architectures for the Internet of Things have been surveyed and compared.
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Conference proceedings 2015selected contributions covered cutting-edge aspects of Cloud Computing and Internet of Things, sensor networks, parallel and distributed computing, advanced networking, smart cities and smart buildings, Big Data and social networks.
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