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Investigation of Data Locality in MapReduce
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.jcss.2006.07.001openalex-snapshot
Maximizing data locality in distributed systems
inferredcites →https://doi.org/10.1098/rsta.2009.0053openalex-snapshot
Sector and Sphere: the design and implementation of a high-performance data cloud
inferredcites →https://doi.org/10.1109/cluster.2011.44openalex-snapshot
Automatic Task Re-organization in MapReduce
inferredcites →https://doi.org/10.1109/clustr.2004.1392626openalex-snapshot
An evaluation of the close-to-files processor and data co-allocation policy in multiclusters
inferredcites →https://doi.org/10.1109/hpdc.2002.1029935openalex-snapshot
Decoupling computation and data scheduling in distributed data-intensive applications
inferredcites →https://doi.org/10.1109/ipdps.2006.1639380openalex-snapshot
A virtual network (ViNe) architecture for grid computing
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The Hadoop Distributed File System
inferredcites →https://doi.org/10.1145/1996023.1996026openalex-snapshot
A hierarchical framework for cross-domain MapReduce execution
inferredcites →https://doi.org/10.5555/1855741.1855744openalex-snapshot
Improving MapReduce performance in heterogeneous environments
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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