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MARISSA: MApReduce Implementation for Streaming Science Applications
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-12659-8_29openalex-snapshot
Case Study of Scientific Data Processing on a Cloud Using Hadoop
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/cloud.2012.118openalex-snapshot
Evaluating Hadoop for Data-Intensive Scientific Operations
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/grid.2011.20openalex-snapshot
MARIANE: MApReduce Implementation Adapted for HPC Environments
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/10.1109/ucc.2011.23openalex-snapshot
Portable Parallel Programming on Cloud and HPC: Scientific Applications of Twister4Azure
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/10.1147/jrd.2011.2165682openalex-snapshot
GPFS-SNC: An enterprise storage framework for virtual-machine clouds
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cpe.3878openalex-snapshot
Hadoop‐based replica exchange over heterogeneous distributed cyberinfrastructures
inferred← citeshttps://doi.org/10.1007/978-3-030-19086-6_43openalex-snapshot
IP Network Traffic Analysis Based on Big Data
inferred← citeshttps://doi.org/10.1007/978-981-32-9949-8_21openalex-snapshot
Big Data Security Challenges and Preventive Solutions
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.jpdc.2015.03.002openalex-snapshot
Wihidum: Distributed complex event processing
inferred← citeshttps://doi.org/10.1109/access.2023.3281266openalex-snapshot
MapReduce for Graphs Processing: New Big Data Algorithm for 2-Edge Connected Components and Future Ideas
inferred← citeshttps://doi.org/10.1109/bigdata.2014.7004303openalex-snapshot
Perldoop: Efficient execution of Perl scripts on Hadoop clusters
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/ccaa.2015.7148364openalex-snapshot
Study on emerging implementations of MapReduce
inferred← citeshttps://doi.org/10.1109/icace.2018.8687023openalex-snapshot
Improving Hadoop Performance Using Yarn-Based Architecture with Weather Datasets
inferred← citeshttps://doi.org/10.1109/icdcs.2014.62openalex-snapshot
AJIRA: A Lightweight Distributed Middleware for MapReduce and Stream Processing
inferred← citeshttps://doi.org/10.1109/tsc.2015.2444838openalex-snapshot
Processing Cassandra Datasets with Hadoop-Streaming Based Approaches
inferred← citeshttps://doi.org/10.1142/s1793351x1440011xopenalex-snapshot
Big Data: A Strategic Perspective
inferred← citeshttps://doi.org/10.1145/2503210.2503222openalex-snapshot
Parallelizing the execution of sequential scripts
inferred← citeshttps://doi.org/10.22215/etd/2015-11026openalex-snapshot
Real Time Autotuning for MapReduce on Hadoop/YARN
inferred← citeshttps://doi.org/10.31390/gradschool_dissertations.5003openalex-snapshot
Large-scale Data Analysis and Deep Learning Using Distributed Cyberinfrastructures and High Performance Computing
inferred← citeshttps://doi.org/10.36227/techrxiv.171778162.24397354/v1openalex-snapshot
Dynamic Split Size: A Novel Approach for Bolstering Map Side Aggregation in MapReduce and Future Ideas
inferred← citeshttps://doi.org/10.4018/978-1-5225-3142-5.ch010openalex-snapshot
High Performance Storage for Big Data Analytics and Visualization
inferred← citeshttps://doi.org/10.5121/ijcsit.2015.7410openalex-snapshot
Map-Reduce Implementations: Survey and Performance Comparison
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