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Comparative study between Hadoop and Spark based on Hibench benchmarks

https://doi.org/10.1109/cloudtech.2016.7847709
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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/10.1007/s10766-013-0272-7openalex-snapshot
Parallel Programming Paradigms and Frameworks in Big Data Era
inferredcites →https://doi.org/10.1007/s11036-013-0489-0openalex-snapshot
Big Data: A Survey
inferredcites →https://doi.org/10.1109/cgc.2012.40openalex-snapshot
Performance Optimization for Short MapReduce Job Execution in Hadoop
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/ical.2012.6308241openalex-snapshot
Deploying and researching Hadoop in virtual machines
inferredcites →https://doi.org/10.1109/icdew.2010.5452747openalex-snapshot
The HiBench benchmark suite: Characterization of the MapReduce-based data analysis
inferredcites →https://doi.org/10.1145/1165389.945450openalex-snapshot
The Google file system
inferredcites →https://doi.org/10.21276/ijre.2018.5.5.4openalex-snapshot
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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Performance comparison between Hadoop and Spark frameworks using HiBench benchmarks
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Levering Mobile Cloud Computing for Mobile Big Data Analytics
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Generalizing Streaming Pipeline Design for Big Data
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Parametrized Optimization Based on an Investigation of Musical Similarities Using SPARK and Hadoop
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Performance Insights of Convolutional Neural Networks Operating on Distributed Computing Platforms
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Privacy Preserving Big Data Publishing
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Performance Study of Spark on YARN Cluster Using HiBench
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A Survey On Cloud-Based Distributed Computing System Frameworks
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inferred← citeshttps://doi.org/10.1109/icraie59459.2023.10468276openalex-snapshot
A Comparative Study of HiveQL and SparkSQL Query Performance in a Cluster Environment
inferred← citeshttps://doi.org/10.1109/icssit53264.2022.9716232openalex-snapshot
Performance Comparison of Apache Hadoop and Apache Spark for COVID-19 data sets
inferred← citeshttps://doi.org/10.1109/jiot.2018.2849406openalex-snapshot
Dynamically Scalable Distributed Virtual Framework Based on Agents and Pub/Sub Pattern for IoT Media Data
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Big Data Performance in Private Clouds. Some Initial Findings on Apache Spark Clusters Deployed in OpenStack
inferred← citeshttps://doi.org/10.1145/3090354.3090372openalex-snapshot
Threshold-based load balancing algorithm for Big Data on a Cloud environment
inferred← citeshttps://doi.org/10.1145/3481646.3481649openalex-snapshot
Benchmarking Apache Spark and Hadoop MapReduce on Big Data Classification
inferred← citeshttps://doi.org/10.1186/s40537-020-00388-5openalex-snapshot
A comprehensive performance analysis of Apache Hadoop and Apache Spark for large scale data sets using HiBench
inferred← citeshttps://doi.org/10.1186/s40537-021-00409-xopenalex-snapshot
SDPSO: Spark Distributed PSO-based approach for feature selection and cancer disease prognosis
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Performance Comparison of Apache Spark and Hadoop for Machine Learning based iterative GBTR on HIGGS and Covid-19 Datasets
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Mahremiyet Korumalı Büyük Veri Yayınlama İçin Kavramsal Model Önerileri
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Pengukuran Performa Apache Spark dengan Library H2O Menggunakan Benchmark Hibench Berbasis Cloud Computing
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Big Data Processing on Cloud Computing Using Hadoop Mapreduce and Apache Spark
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Big Data Processing on Cloud Computing Using Hadoop Mapreduce and Apache Spark
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Diseño de una arquitectura para el procesamiento distribuido de grandes volúmenes de datos
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Big Data Processing Tools Navigation Diagram
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