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MapReduce, as a popular tool for distributed and scalable processing of voluminous data, has been used in many areas. However, it is not efficient when handing skewed data, since it only considers the key and adopts a uniform hash method to distribute the workload to each reducer, while ignores the key's distribution. This can lead to load imbalance, increase the processing time, generate the "straggler"...
In this article, we deal with the load balancing routing problem for wireless sensor network (WSN) in two-dimensional mesh. Load balancing routing is very important for the WSN. However the existing balancing routing algorithms mostly focus on the energy balance and most of them are based on clustering technology. It needs time and energy to construct clusters for clustering technology. We propose...
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