Browsing by Author "TAY, Y. C."

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    "UpSizeR: Synthetically Scaling an Empirical Relational Database"
    (2010-12-17) TAY, Y. C.; DAI, Bingtian; WANG, Tao; SUN, Yang; LIN, Yong; LIN, Yuting
    This paper presents UpSizeR, a software that takes as input an empirical relational dataset D and a scale factor s, and generates a synthetic dataset e D' that is similar to D but s times its size. Such a tool can be useful for scaling up D for scalability testing (s > 1), scaling down for application debugging (s < 1), or anonymization (s = 1). Experiments with Flickr show that query results and response times on UpSizeR output match those on crawled data. They also accurately predict throughput degradation for a scale out test.