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• W2344434032 abstract "In this paper, we propose a solution to support big data processing with MapReduce inside a wireless sensor network (WSN). The proposed framework provides a simple MapReduce interface, whose implementation can be dynamically loaded into the appropriate nodes. The execution of map and reduce functions inside the network is achieved by leveraging software defined networking principles and in particular by enhancing the SDN-WISE protocol on both the Controller and the sensor node sides. On the Controller side, the proposed framework introduces a functionality, which evaluates the optimal deployment of the processing functions in the network taking the typical WSN requirements into account and enforces it by instructing the flow tables to forward traffic from the mappers to the appropriate reducers. Then, on the node side, SDN-WISE is integrated with Contiki, a widely popular operating system for sensor nodes, which has the capability to load and execute new functions without service disruption, i.e., on the fly. The proposed framework is evaluated considering different network topologies and approaches about the data processing location." @default.
• W2344434032 created "2016-06-24" @default.
• W2344434032 creator A5050880787 @default.
• W2344434032 creator A5053769927 @default.
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• W2344434032 date "2016-09-01" @default.
• W2344434032 modified "2023-09-27" @default.
• W2344434032 title "An SDN-Assisted Framework for Optimal Deployment of MapReduce Functions in WSNs" @default.
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• W2344434032 doi "https://doi.org/10.1109/tmc.2015.2496582" @default.
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