Titlebook: Big Data Benchmarks, Performance Optimization, and Emerging Hardware; 6th Workshop, BPOE 2 Jianfeng Zhan,Rui Han,Roberto V. Zicari Conferen

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On Statistical Characteristics of Real-Life Knowledge Graphsboth academic and industrial communities in building common-sense and domain-specific knowledge graphs. A natural question arises that how to effectively and efficiently manage a large-scale knowledge graph. Though systems and technologies that use relational storage engines or native graph database

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An Optimal Reduce Placement Algorithm for Data Skew Based on Samplingperformance bottle-neck in most running Hadoop systems. This paper proposes a reduce placement algorithm called CORP to schedule related map and reduce tasks on the near nodes or clusters or racks for the data locality. Since the number of keys cannot be counted until the input data are processed by

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AAA: A Massive Data Acquisition Approach in Large-Scale System Monitoringf metrics from each device for real-time anomaly detection, alerting and analysis. It is a great challenge to realize real-time and reliable data collection and gathering in a data acquisition system for large-scale system. In this paper, we propose an Adaptive window Acquisition Algorithm (AAA) to

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A Plugin-Based Approach to Exploit RDMA Benefits for Apache and Enterprise HDFSadoop MapReduce, HBase, Hive, and Spark. This makes the performance of HDFS a primary concern in the Big Data community. Recent studies have shown that HDFS cannot completely exploit the performance benefits of RDMA-enabled high performance interconnects like InfiniBand. To solve these performance i

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Stream-Based Lossless Data Compression Hardware Using Adaptive Frequency Table Management needs to treat BigData management has been reaching to very high speed. In spite of fast increasing of the BigData, the implementation of the data communication path has become complex due to the electrical difficulties such as noises, crosstalks and reflections of the high speed data connection vi

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