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Performance comparison between Hadoop and Spark frameworks using HiBench benchmarks
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-19294-4_9openalex-snapshot
The HiBench Benchmark Suite: Characterization of the MapReduce-Based Data Analysis
inferredcites →https://doi.org/10.1016/j.ijinfomgt.2014.10.007openalex-snapshot
Beyond the hype: Big data concepts, methods, and analytics
inferredcites →https://doi.org/10.1016/j.jss.2016.11.037openalex-snapshot
Performance evaluation of cloud-based log file analysis with Apache Hadoop and Apache Spark
inferredcites →https://doi.org/10.1016/j.procs.2015.07.286openalex-snapshot
Big Data Analytics in the Cloud: Spark on Hadoop vs MPI/OpenMP on Beowulf
inferredcites →https://doi.org/10.1016/j.procs.2016.04.014openalex-snapshot
Performance Comparison of Spark Clusters Configured Conventionally and a Cloud Service
inferredcites →https://doi.org/10.1109/cloudcom.2012.6427486openalex-snapshot
Predator — An experience guided configuration optimizer for Hadoop MapReduce
inferredcites →https://doi.org/10.1109/cloudtech.2016.7847709openalex-snapshot
Comparative study between Hadoop and Spark based on Hibench benchmarks
inferredcites →https://doi.org/10.1109/grid.2012.31openalex-snapshot
Assessing MapReduce for Internet Computing: A Comparison of Hadoop and BitDew-MapReduce
inferredcites →https://doi.org/10.1109/hipc.2013.6799133openalex-snapshot
A self-tuning system based on application Profiling and Performance Analysis for optimizing Hadoop MapReduce cluster configuration
inferredcites →https://doi.org/10.1109/hpcc.and.euc.2013.106openalex-snapshot
Memory or Time: Performance Evaluation for Iterative Operation on Hadoop and Spark
inferredcites →https://doi.org/10.1109/ical.2012.6308241openalex-snapshot
Deploying and researching Hadoop in virtual machines
inferredcites →https://doi.org/10.1109/icbnmt.2013.6823956openalex-snapshot
Log analysis in cloud computing environment with Hadoop and Spark
inferredcites →https://doi.org/10.1109/ispass.2010.5452045openalex-snapshot
The Hadoop distributed filesystem: Balancing portability and performance
inferredcites →https://doi.org/10.1109/pci.2010.47openalex-snapshot
Parallel Collection of Live Data Using Hadoop
inferredcites →https://doi.org/10.1155/2015/575687openalex-snapshot
Performance Comparison of OpenMP, MPI, and MapReduce in Practical Problems
inferredcites →https://doi.org/10.21276/ijre.2018.5.5.4openalex-snapshot
MapReduce: Simplified Data Processing on Large Cluster
inferredcites →https://doi.org/10.5121/ijdps.2012.3605openalex-snapshot
Evaluation of Data Processing Using MapReduce Framework in Cloud and Stand - Alone Computing
inferredcites →https://doi.org/10.6028/nist.sp.800-145openalex-snapshot
The NIST definition of cloud computing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Performance Evaluation of Machine Learning Models on Apache Spark: An Empirical Study
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Analyzing fault tolerance mechanism of Hadoop Mapreduce under different type of failures
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Comparative analysis of Spark and Hadoop through Imputation of Data on Big Datasets
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