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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 Dataral, spatial and vital sign monitoring of patient. As such, discovering or mining interesting knowledge from the BSN data stream is becoming an important issue to promote and assist important decision making in healthcare. In this paper, we focus on mining the inherent regularity of different parame
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Task Execution in Distributed Smart Systemsa networks. The proposed approach is general and thus not limited to a specific scenario. A job-resource model is introduced to describe the smart system and the tasks, with as much order as necessary and as few rules as possible. Based on that model, a local algorithm is presented, which is develop
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Urban Crowd Steering: An Overviewblic spaces, identify or predict possible dangerous situations (e.g., overcrowded areas) or simply recognize the profitability of a different patterns of distribution and collective movements. In this overview paper, we focus on the problem of using such technologies also to steer the movement of pe
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Towards a Self-Adaptive Middleware for Building Reliable Publish/Subscribe Systemss in the execution environment. We present the design and implementation of Mimosa Pudica, an adaptive and reliable middleware for adapting various changes in pub/sub systems. At the heart of Mimosa Pudica are two design ideas. First, the brokers can elect leaders to manage the network topology in a
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Review of Replication Techniques for Distributed Systems the scales and complexity of the system have increased, causing faults are likely bound to happen leading into diverse faults and failure conditions. Therefore, fault tolerance has become a crucial property for distributed system in order to preserve its function correctly and available in the pres
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Towards Motion Characterization and Assessment Within a Wireless Body Area Networkne-grained applicability, the proposed system offers the possibility of providing a motion assessment on three different evaluation layers during the motion assessment process. We evaluate the system in a first practical approach based on a dumbbell exercise.
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Data Driven Transmission Power Control for Wireless Sensor Networksthis paper are to minimize power consumption during initialization phase and to show how by utilizing priority of data as a sole metric for power adaptation improves reliability and decreases not only latency but also overall energy consumption while transmitting data packets.
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