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Joint congestion control and link scheduling has been proposed as an approach to fair resource allocation in wireless networks. Existing solutions usually favor a distributed cross-layer deployment that requires timely communications among network components in seeking system stability and global optimum. However, this is unrealistic with feedback delay and channel capacity perturbation. The stability...
Recent research has introduced load balancing schemes that are aware of the input data distribution (i.e., data profile) to mitigate data skew and fully exploit the parallel capability of the MapReduce framework to support record linkage. However, existing solutions face a significant scalability issue when applied to massive data sets with millions or billions of blocks (a basic unit in record linkage)...
Joint congestion control and scheduling has been widely applied to resource allocation in multi-hop wireless networks. Existing algorithms usually rely on seamless cooperation between network components to seek the optimal solution. However, this is unrealistic considering the presence of time delay and channel capacity perturbation in real wireless environments. The stability and efficiency of these...
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