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Titlebook: Algorithms and Architectures for Parallel Processing; 18th International C Jaideep Vaidya,Jin Li Conference proceedings 2018 Springer Natur

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Document Nearest Neighbors Query Based on Pairwise Similarity with MapReduceive to the number of the intermediate results. For the purpose of intermediate results reduction, . is proposed for nearest neighbor query based on pairwise similarity. Since only first top-. neighbors are output for each document, the size of records shuffled is kept in the same magnitude as input
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Accurate Identification of Internet Video Traffic Using Byte Code Distribution Featuresately. To test the performance of our proposal, we collect a set of video traffic traces containing two typical video types, romance and action. We conduct a set of comparing experiments on the collected data. The results show that the BCD method can hit extremely high identification accuracies (hig
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RISC: Risk Assessment of Instance Selection in Cloud Marketsch to fine-tuning the instance recommendation. We have evaluated our approach using simulations on real-world workloads and cloud market statistics. The results show that, compared to traditional approaches, our approach provides the best tradeoff between SLOs and costs, as it can maximize the overa
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Real-Time Data Stream Partitioning over a Sliding Window in Real-Time Spatial Big Dataformance of the system and simplify data management. But they remain insufficient for real-time spatial Big data; they can’t deal with real-time and stream queries efficiently. Thus, in this paper, we propose a novel data partitioning approach over a sliding window in real-time spatial Big Data name
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Most Memory Efficient Distributed Super Points Detection on Core Networkson a common GPU to accelerate processing speed. Experiments on several real-world core network traffics show that our algorithm acquires the highest accuracy with only consuming littler than one-fifth memory of other algorithms.
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Parallel Implementation and Optimizations of Visibility Computing of 3D Scene on Tianhe-2 Supercomputechnique called hemispheric visibility computing is designed, which can overcome the visibility missing of traditional perspective algorithm. Secondly, a distributed parallel algorithm for visibility computing is implemented, which is based on the master-worker architecture. Finally, we discuss the
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