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SYSTEMS AND METHODS FOR GENERATING PERFORMANCE PREDICTION MODEL AND ESTIMATING EXECUTION TIME FOR APPLICATIONS
SYSTEMS AND METHODS FOR GENERATING PERFORMANCE PREDICTION MODEL AND ESTIMATING EXECUTION TIME FOR APPLICATIONS
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机译:用于生成性能预测模型并估计应用程序执行时间的系统和方法
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摘要
Systems and methods for generating performance prediction model and estimating execution time for applications is provided. The system executes synthetic benchmarks for a first dataset on a first cluster. Each synthetic benchmark includes a MapReduce (MR) job. The system further extracts sensitive parameters for each sub-phase of the MR job, generates a linear regression prediction model for each sub-phase to obtain one or more linear regression prediction models, based on which the system further generates a performance prediction model to be utilized for predicting, using the sensitive parameters, a Hive query execution time of a DAG of one or more MR jobs executed on a second dataset on a second cluster, wherein the first cluster that includes the first dataset is smaller compared to the second cluster that includes the second dataset.
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