BigDataBench: a Big Data Benchmark Suite from Web Search Engines

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Provided by: Cornell University
Topic: Big Data
Format: PDF
In this paper, the authors present joint research efforts on big data benchmarking with several industrial partners. Considering the complexity, diversity, workload churns, and rapid evolution of big data systems, they take an incremental approach in big data benchmarking. For the first step, they pay attention to search engines, which are the most important domain in Internet services in terms of the number of page views and daily visitors. However, search engine service providers treat data, applications, and web access logs as business confidentiality, which prevents one from building benchmarks.
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