Spark: Cluster Computing with Working Sets - USENIX
a dataset, Spark will recompute them when they are used. We chose this design so that Spark programs keep work-ing (at reduced performance) if nodes fail or if a dataset is too big. This idea is loosely analogous to virtual memory. We also plan to extend Spark to support other levels of persistence (e.g., in-memory replication across multiple ...
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