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Predicting Runtime in Spark-Like Systems With Allocation-Aware Deterministic Models
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DOI：10.1002/spe.70097.png)
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Abstract
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Apache Spark is widely used for distributed data processing, but accurately predicting application execution time remains challenging because performance depends on application structure, resource configuration, and executor-allocation behavior. This article presents two deterministic, graph-based simulation models for predicting the execution time of Spark applications under static and dynamic executor allocation.
Keywords:
apache spark
big data analytics
deterministic modeling
dynamic resource allocation
execution time prediction
performance modeling
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