In recent years the MapReduce programming model has been widely used for developing parallel data-intensive applications. As a result of its popularity, there exist many implementations of the MapReduce model on different parallel architectures including on massively parallel programmable GPUs. A basic challenge in implementing a MapReduce runtime system is ...Download Now
Wireless Sensor Networks (WSNs) consist of several sensor nodes equipped with limited power sources that sense environments event and transmit data to the sink node. WSNs have many constraints including energy, redundant data, and many-to-one flows. Data aggregation is one of the most important issues for achieving energy-efficiency in wireless ...Download Now
In this work, the authors propose a methodology named QUEM (Quantitative Usability Evaluation Model) for quantitative usability evaluation of e-commerce websites. Many e-commerce websites lack user friendliness. The main factor that prevents these firms to conduct usability testing is the high costs and the need for usability experts. In this ...Download Now
Mining frequent patterns over data streams is an interesting problem due to its wide application area. In this paper, a novel method for sliding window frequent patterns mining over data streams is proposed. This method utilizes a compressed and memory efficient tree data structure to store and to maintain sliding ...Download Now
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