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Titlebook: Big Data Benchmarking; 6th International Wo Tilmann Rabl,Raghunath Nambiar,Saumyadipta Pyne Conference proceedings 2016 Springer Internatio

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發(fā)表于 2025-3-25 03:22:43 | 只看該作者
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發(fā)表于 2025-3-25 10:28:25 | 只看該作者
ALOJA: A Benchmarking and Predictive Platform for Big Data Performance Analysisnts. The development of the project over its first year, has resulted in a open source benchmarking platform, an online public repository of results with over 42,000 Hadoop job runs, and web-based analytic tools to gather insights about system’s cost-performance (ALOJA’s Web application, tools, and
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發(fā)表于 2025-3-25 13:54:45 | 只看該作者
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發(fā)表于 2025-3-25 20:39:57 | 只看該作者
Accelerating BigBench on Hadoop To solve this issue, a new towards industry standard benchmark for Big Data Analytics called BigBench has been proposed. And with BigBench, we’ve been keeping our collaboration with Apache Open Source Community to work on performance tuning and optimization for Hadoop ecosystem. In this paper, we s
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發(fā)表于 2025-3-26 03:22:30 | 只看該作者
Tilmann Rabl,Raghunath Nambiar,Saumyadipta PyneIncludes supplementary material:
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發(fā)表于 2025-3-26 06:48:55 | 只看該作者
28#
發(fā)表于 2025-3-26 12:12:48 | 只看該作者
Asymptotically Autonomous Vector Fields,big data with an accompanying cloud infrastructure of dramatic and increasing size and sophistication. In this paper, we study an approach to convergence for software and applications/algorithms and show what hardware architectures it suggests. We start by dividing applications into data plus model
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發(fā)表于 2025-3-26 13:13:57 | 只看該作者
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發(fā)表于 2025-3-26 19:18:55 | 只看該作者
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