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LEEN: Locality/Fairness-Aware Key Partitioning for MapReduce in the Cloud
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Evaluating MapReduce on Virtual Machines: The Hadoop Case
inferredcites →https://doi.org/10.1007/978-3-642-13067-0_27openalex-snapshot
Variable-Sized Map and Locality-Aware Reduce on Public-Resource Grids
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HPMR: Prefetching and pre-shuffling in shared MapReduce computation environment
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MapReduce: Simplified Data Processing on Large Cluster
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Partitionnement dans les systèmes de gestion de données parallèles
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.