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Spark Versus Flink: Understanding Performance in Big Data Analytics Frameworks
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-33299-9_1openalex-snapshot
The Fourth Paradigm – Data-Intensive Scientific Discovery
inferredcites →https://doi.org/10.1007/s00778-014-0357-yopenalex-snapshot
The Stratosphere platform for big data analytics
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Nephele streaming: stream processing under QoS constraints at scale
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TomusBlobs: Towards Communication-Efficient Storage for MapReduce Applications in Azure
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Adaptive data block scheduling for parallel TCP streams
inferredcites →https://doi.org/10.1109/jproc.2011.2155130openalex-snapshot
The Fourth Paradigm: Data-Intensive Scientific Discovery [Point of View]
inferredcites →https://doi.org/10.1109/tpds.2011.65openalex-snapshot
Exploiting Dynamic Resource Allocation for Efficient Parallel Data Processing in the Cloud
inferredcites →https://doi.org/10.1109/ucc.2015.47openalex-snapshot
Enabling Big Data Analytics in the Hybrid Cloud Using Iterative MapReduce
inferredcites →https://doi.org/10.1145/2110217.2110221openalex-snapshot
Network-aware end-to-end data throughput optimization
inferredcites →https://doi.org/10.1177/1094342006070078openalex-snapshot
Grid'5000: A Large Scale And Highly Reconfigurable Experimental Grid Testbed
inferredcites →https://doi.org/10.14778/2350229.2350245openalex-snapshot
Spinning fast iterative data flows
inferredcites →https://doi.org/10.14778/2824032.2824080openalex-snapshot
Scaling spark in the real world
inferredcites →https://doi.org/10.5555/2616448.2616475openalex-snapshot
GRASS: trimming stragglers in approximation analytics
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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