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Evaluating Hadoop for Data-Intensive Scientific Operations
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/spe.1082openalex-snapshot
Hadoop framework: impact of data organization on performance
inferredcites →https://doi.org/10.1007/978-3-642-02279-1_24openalex-snapshot
Experiences on Processing Spatial Data with MapReduce
inferredcites →https://doi.org/10.1007/978-3-642-12659-8_29openalex-snapshot
Case Study of Scientific Data Processing on a Cloud Using Hadoop
inferredcites →https://doi.org/10.1093/bioinformatics/btp236openalex-snapshot
CloudBurst: highly sensitive read mapping with MapReduce
inferredcites →https://doi.org/10.1093/bioinformatics/btr523openalex-snapshot
MapReduce implementation of a hybrid spectral library-database search method for large-scale peptide identification
inferredcites →https://doi.org/10.1109/cisis.2010.45openalex-snapshot
Benchmarking a MapReduce Environment on a Full Virtualisation Platform
inferredcites →https://doi.org/10.1109/escience.2008.59openalex-snapshot
MapReduce for Data Intensive Scientific Analyses
inferredcites →https://doi.org/10.1109/grid.2011.21openalex-snapshot
Benchmarking MapReduce Implementations for Application Usage Scenarios
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/10.1109/icpads.2008.70openalex-snapshot
MRBench: A Benchmark for MapReduce Framework
inferredcites →https://doi.org/10.1109/ispass.2010.5452045openalex-snapshot
The Hadoop distributed filesystem: Balancing portability and performance
inferredcites →https://doi.org/10.1109/msst.2010.5496972openalex-snapshot
The Hadoop Distributed File System
inferredcites →https://doi.org/10.1109/pdsw.2008.4811889openalex-snapshot
Introducing map-reduce to high end computing
inferredcites →https://doi.org/10.1145/1048935.1050202openalex-snapshot
High Resolution Forward And Inverse Earthquake Modeling on Terascale Computers
inferredcites →https://doi.org/10.1145/1646468.1646471openalex-snapshot
Lessons learned from a year's worth of benchmarks of large data clouds
inferredcites →https://doi.org/10.1145/1807128.1807145openalex-snapshot
Defining future platform requirements for e-Science clouds
inferredcites →https://doi.org/10.1145/1985500.1985510openalex-snapshot
A MapReduce workflow system for architecting scientific data intensive applications
inferredcites →https://doi.org/10.14778/1920841.1920903openalex-snapshot
The performance of MapReduce
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-319-62594-2_13openalex-snapshot
Experimental Study on Performance and Energy Consumption of Hadoop in Cloud Environments
inferred← citeshttps://doi.org/10.1007/978-3-319-63962-8_143-1openalex-snapshot
Performance Evaluation of Big Data Analysis
inferred← citeshttps://doi.org/10.1007/978-3-319-77525-8_143openalex-snapshot
Performance Evaluation of Big Data Analysis
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2015.11.021openalex-snapshot
Analysis and evaluation of MapReduce solutions on an HPC cluster
inferred← citeshttps://doi.org/10.1016/j.future.2013.12.007openalex-snapshot
MARIANE: Using MApReduce in HPC environments
inferred← citeshttps://doi.org/10.1016/j.future.2018.04.030openalex-snapshot
BDEv 3.0: Energy efficiency and microarchitectural characterization of Big Data processing frameworks
inferred← citeshttps://doi.org/10.1016/j.jpdc.2015.01.001openalex-snapshot
Performance and energy efficiency of big data applications in cloud environments: A Hadoop case study
inferred← citeshttps://doi.org/10.1016/j.procs.2015.05.202openalex-snapshot
MREv: An Automatic MapReduce Evaluation Tool for Big Data Workloads
inferred← citeshttps://doi.org/10.1080/1206212x.2020.1719623openalex-snapshot
The impact factors on the competence of big data processing
inferred← citeshttps://doi.org/10.1109/bigdata.2013.6691564openalex-snapshot
On the performance and energy efficiency of Hadoop deployment models
inferred← citeshttps://doi.org/10.1109/bigdata.2015.7363750openalex-snapshot
Evaluating different distributed-cyber-infrastructure for data and compute intensive scientific application
inferred← citeshttps://doi.org/10.1109/bigdata.congress.2014.100openalex-snapshot
Spatio-temporal Pseudo Relevance Feedback for Large-Scale and Heterogeneous Scientific Repositories
inferred← citeshttps://doi.org/10.1109/bigdata.congress.2014.32openalex-snapshot
A Processing Pipeline for Cassandra Datasets Based on Hadoop Streaming
inferred← citeshttps://doi.org/10.1109/ccgrid.2014.89openalex-snapshot
Evaluating Streaming Strategies for Event Processing Across Infrastructure Clouds
inferred← citeshttps://doi.org/10.1109/cloud.2013.31openalex-snapshot
An Evaluation of Cassandra for Hadoop
inferred← citeshttps://doi.org/10.1109/escience.2012.6404432openalex-snapshot
MARISSA: MApReduce Implementation for Streaming Science Applications
inferred← citeshttps://doi.org/10.1109/ic2e.2014.66openalex-snapshot
Provisioning, Placement and Pipelining Strategies for Data-Intensive Applications in Cloud Environments
inferred← citeshttps://doi.org/10.1109/iccpct.2015.7159347openalex-snapshot
Increasing performance of parallel and distributed systems in high performance computing using weight based approach
inferred← citeshttps://doi.org/10.1109/icemi.2013.6743121openalex-snapshot
Design and implementation of on-line automatic monitoring system for malodor pollution incidents based on ArcGIS
inferred← citeshttps://doi.org/10.1109/islped.2013.6629278openalex-snapshot
Breaking the boundary for whole-system performance optimization of big data
inferred← citeshttps://doi.org/10.1109/tsc.2015.2444838openalex-snapshot
Processing Cassandra Datasets with Hadoop-Streaming Based Approaches
inferred← citeshttps://doi.org/10.1145/3006299.3006313openalex-snapshot
Performance characterization of hadoop workloads on SR-IOV-enabled virtualized InfiniBand clusters
inferred← citeshttps://doi.org/10.1201/b18050-7openalex-snapshot
◾ Scalability and Cost Evaluation of Incremental Data Processing Using Amazon’s Hadoop Service
inferred← citeshttps://doi.org/10.12720/jcm.14.10.971-979openalex-snapshot
The Optimization Potential of Volunteer Computing for Compute or Data Intensive Applications
inferred← citeshttps://doi.org/10.23940/ijpe.18.02.p2.202209openalex-snapshot
Big Data Storage and Parallel Analysis of Grid Equipment Monitoring System
inferred← citeshttps://doi.org/10.2991/icmmita-15.2015.298openalex-snapshot
The Design of Software Work flow Architecture Based on Cloud Environment
inferred← citeshttps://doi.org/10.31390/gradschool_dissertations.4651openalex-snapshot
A Study of Scalability and Cost-effectiveness of Large-scale Scientific Applications over Heterogeneous Computing Environment
inferred← citeshttps://doi.org/10.3233/978-1-61499-583-8-47openalex-snapshot
Towards a Comprehensive Set of Big Data Benchmarks
inferred← citeshttps://doi.org/10.3390/bdcc5030038openalex-snapshot
The Optimization Strategies on Clarification of the Misconceptions of Big Data Processing in Dynamic and Opportunistic Environments
inferred← citeshttps://doi.org/10.3939/j.issn.1673-5188.2013.04.003openalex-snapshot
MapReduce in the Cloud: Data-Location-Aware VM Scheduling
inferred← citeshttps://doi.org/10.5121/ijcsa.2014.4507openalex-snapshot
An Experimental Evaluation of Performance of a Hadoop Cluster on Replica Management
inferred← citeshttps://doi.org/10.5220/0005861701920201openalex-snapshot
Benchmarking Hadoop Performance in the Cloud
inferred← citeshttps://doi.org/10.70675/e8bdff5bz844ez4473zbf9ez36d0232b71acopenalex-snapshot
Optimisation de la gestion des ressources sur une plate-forme informatique du type Big Data basée sur le logiciel Hadoop
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