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Benchmarking MapReduce Implementations for Application Usage Scenarios

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-44892-6_3openalex-snapshot
NaradaBrokering: A Distributed Middleware Framework and Architecture for Enabling Durable Peer-to-Peer Grids
inferredcites →https://doi.org/10.1007/978-3-0348-8534-8_21openalex-snapshot
The MPI Message Passing Interface Standard
inferredcites →https://doi.org/10.1109/ccgrid.2011.71openalex-snapshot
DELMA: Dynamically ELastic MapReduce Framework for CPU-Intensive Applications
inferredcites →https://doi.org/10.1109/cloudcom.2010.103openalex-snapshot
Cogset vs. Hadoop: Measurements and Analysis
inferredcites →https://doi.org/10.1109/cloudcom.2010.45openalex-snapshot
LEMO-MR: Low Overhead and Elastic MapReduce Implementation Optimized for Memory and CPU-Intensive Applications
inferredcites →https://doi.org/10.1109/escience.2008.59openalex-snapshot
MapReduce for Data Intensive Scientific Analyses
inferredcites →https://doi.org/10.1109/gcc.2009.19openalex-snapshot
A Dynamic MapReduce Scheduler for Heterogeneous Workloads
inferredcites →https://doi.org/10.1109/grid.2009.5353070openalex-snapshot
Parallel and distributed approach for processing large-scale XML datasets
inferredcites →https://doi.org/10.1109/icpads.2008.70openalex-snapshot
MRBench: A Benchmark for MapReduce Framework
inferredcites →https://doi.org/10.1109/ipdpsw.2010.5470880openalex-snapshot
Improving MapReduce performance through data placement in heterogeneous Hadoop clusters
inferredcites →https://doi.org/10.1109/msst.2010.5496972openalex-snapshot
The Hadoop Distributed File System
inferredcites →https://doi.org/10.1109/npc.2009.23openalex-snapshot
Cogset: A Unified Engine for Reliable Storage and Parallel Processing
inferredcites →https://doi.org/10.1145/1165389.945450openalex-snapshot
The Google file system
inferredcites →https://doi.org/10.1145/1327452.1327492openalex-snapshot
MapReduce
inferredcites →https://doi.org/10.1145/1454115.1454152openalex-snapshot
Mars
inferredcites →https://doi.org/10.1145/1559845.1559865openalex-snapshot
A comparison of approaches to large-scale data analysis
inferredcites →https://doi.org/10.1145/1723112.1723129openalex-snapshot
FPMR
inferredcites →https://doi.org/10.1145/1851476.1851593openalex-snapshot
Twister
inferredcites →https://doi.org/10.1145/945449.945450openalex-snapshot
The Google file system
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.

inferred← citeshttps://doi.org/10.1007/978-3-319-11056-1_17openalex-snapshot
Towards a New Architecture for the Description and Manipulation of Large Distributed Data
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/10.1007/978-3-642-53974-9_4openalex-snapshot
From TPC-C to Big Data Benchmarks: A Functional Workload Model
inferred← citeshttps://doi.org/10.1007/978-3-662-46703-9_5openalex-snapshot
Performance Analysis of Adapting a MapReduce Framework to Dynamically Accommodate Heterogeneity
inferred← citeshttps://doi.org/10.1007/s10586-014-0362-3openalex-snapshot
Adaptive Combiner for MapReduce on cloud computing
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.2014.01.001openalex-snapshot
Benchmarking MapReduce implementations under different application scenarios
inferred← citeshttps://doi.org/10.1016/j.jnca.2017.04.007openalex-snapshot
Load-balancing algorithms in cloud computing: A survey
inferred← citeshttps://doi.org/10.1109/bigdata.2013.6691583openalex-snapshot
Direct QR factorizations for tall-and-skinny matrices in MapReduce architectures
inferred← citeshttps://doi.org/10.1109/bigdata.congress.2014.26openalex-snapshot
Configuring a MapReduce Framework for Performance-Heterogeneous Clusters
inferred← citeshttps://doi.org/10.1109/ccgrid.2012.135openalex-snapshot
MARLA: MapReduce for Heterogeneous Clusters
inferred← citeshttps://doi.org/10.1109/cloud.2012.118openalex-snapshot
Evaluating Hadoop for Data-Intensive Scientific Operations
inferred← citeshttps://doi.org/10.1109/cloud.2013.31openalex-snapshot
An Evaluation of Cassandra for Hadoop
inferred← citeshttps://doi.org/10.1109/cloud.2014.68openalex-snapshot
Performance Variations in Resource Scaling for MapReduce Applications on Private and Public Clouds
inferred← citeshttps://doi.org/10.1109/ipdpsw.2012.129openalex-snapshot
Analysis and Optimization of Data Import with Hadoop
inferred← citeshttps://doi.org/10.1145/2132876.2132888openalex-snapshot
Riding the elephant
inferred← citeshttps://doi.org/10.1145/2851613.2851881openalex-snapshot
Virtualization technologies for the big data environment
inferred← citeshttps://doi.org/10.4018/978-1-5225-9023-1.ch010openalex-snapshot
Load Balancing in Heterogeneous Cluster Cloud Computing
inferred← citeshttps://doi.org/10.4304/jnw.8.8.1734-1741openalex-snapshot
Performance Analysis of MapReduce Program in Heterogeneous Cloud Computing
inferred← citeshttps://doi.org/10.5120/ijca2017915311openalex-snapshot
Classifying Student’s Learning Experience using Improved Apriori and CART
inferred← citeshttps://doi.org/10.5220/0005861701920201openalex-snapshot
Benchmarking Hadoop Performance in the Cloud
inferred← citeshttps://doi.org/10.5815/ijitcs.2015.11.07openalex-snapshot
Performance Analysis in Bigdata
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