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Rapid Processing of Synthetic Seismograms Using Windows Azure Cloud
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-84628-757-2_10openalex-snapshot
SCEC CyberShake Workflows—Automating Probabilistic Seismic Hazard Analysis Calculations
inferredcites →https://doi.org/10.1109/e-science.2007.12openalex-snapshot
Aneka: Next-Generation Enterprise Grid Platform for e-Science and e-Business Applications
inferredcites →https://doi.org/10.1109/escience.2008.167openalex-snapshot
On the Use of Cloud Computing for Scientific Workflows
inferredcites →https://doi.org/10.1109/escience.2008.169openalex-snapshot
MRGIS: A MapReduce-Enabled High Performance Workflow System for GIS
inferredcites →https://doi.org/10.1109/esciw.2009.5408002openalex-snapshot
Scientific workflow applications on Amazon EC2
inferredcites →https://doi.org/10.1109/i-span.2009.150openalex-snapshot
High-Performance Cloud Computing: A View of Scientific Applications
inferredcites →https://doi.org/10.1130/0016-7606(1977)88<1469:ssottr>2.0.co;2openalex-snapshot
Seismic structure of the Transverse Ranges, California
inferredcites →https://doi.org/10.1145/1851476.1851532openalex-snapshot
Early observations on the performance of Windows Azure
inferredcites →https://doi.org/10.1145/1851476.1851535openalex-snapshot
Case study for running HPC applications in public clouds
inferredcites →https://doi.org/10.1785/0120050253openalex-snapshot
Strain Green's Tensors, Reciprocity, and Their Applications to Seismic Source and Structure Studies
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.
inferred← citeshttps://doi.org/10.1007/s12652-021-03380-wopenalex-snapshot
Emerging computational challenges in cloud computing and RTEAH algorithm based solution
inferred← citeshttps://doi.org/10.1007/s42979-020-00276-yopenalex-snapshot
The Dynamic Computational Model and the New Era of Cloud Computation Using Microsoft Azure
inferred← citeshttps://doi.org/10.1016/b978-0-12-805394-2.00018-0openalex-snapshot
A Taxonomy and Survey of Scientific Computing in the Cloud
inferred← citeshttps://doi.org/10.1016/bs.adcom.2021.09.006openalex-snapshot
Bivariate, cluster, and suitability analysis of NoSQL solutions for big graph applications
inferred← citeshttps://doi.org/10.1016/j.future.2018.12.002openalex-snapshot
LADRA: Log-based abnormal task detection and root-cause analysis in big data processing with Spark
inferred← citeshttps://doi.org/10.1016/j.gexplo.2014.03.006openalex-snapshot
Reactive transport modeling of thorium in a cloud computing environment
inferred← citeshttps://doi.org/10.1016/j.jvlc.2018.04.001openalex-snapshot
NPIY : A novel partitioner for improving mapreduce performance
inferred← citeshttps://doi.org/10.1080/17538947.2012.687778openalex-snapshot
Cloud computing for integrated stochastic groundwater uncertainty analysis
inferred← citeshttps://doi.org/10.1109/cloud.2016.0054openalex-snapshot
Migrating GIS Big Data Computing from Hadoop to Spark: An Exemplary Study Using Twitter
inferred← citeshttps://doi.org/10.1109/cloud.2017.20openalex-snapshot
Hierarchical Spark: A Multi-Cluster Big Data Computing Framework
inferred← citeshttps://doi.org/10.1109/cloudnet.2013.6710581openalex-snapshot
Performance vs cost for windows and linux platforms in Windows Azure cloud
inferred← citeshttps://doi.org/10.1109/dasc-picom-datacom-cyberscitec.2017.138openalex-snapshot
Optimizing MapReduce Partitioner Using Naive Bayes Classifier
inferred← citeshttps://doi.org/10.1109/dasc-picom-datacom-cyberscitec.2017.28openalex-snapshot
A Survey of Semantics-Aware Performance Optimization for Data-Intensive Computing
inferred← citeshttps://doi.org/10.1109/dasc/picom/datacom/cyberscitec.2018.00037openalex-snapshot
Detecting Anomaly in Big Data System Logs Using Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/icws.2017.135openalex-snapshot
Log-based Abnormal Task Detection and Root Cause Analysis for Spark
inferred← citeshttps://doi.org/10.1109/ipdps.2017.100openalex-snapshot
MRapid: An Efficient Short Job Optimizer on Hadoop
inferred← citeshttps://doi.org/10.1109/omee.2012.6343506openalex-snapshot
Research on cloud computing technology status
inferred← citeshttps://doi.org/10.1109/services.2011.90openalex-snapshot
Rapid 3D Seismic Source Inversion Using Windows Azure and Amazon EC2
inferred← citeshttps://doi.org/10.1109/waina.2017.94openalex-snapshot
MRSIM: Mitigating Reducer Skew In MapReduce
inferred← citeshttps://doi.org/10.1111/j.1365-246x.2011.05031.xopenalex-snapshot
Rapid full-wave centroid moment tensor (CMT) inversion in a three-dimensional earth structure model for earthquakes in Southern California
inferred← citeshttps://doi.org/10.1186/s13677-019-0139-6openalex-snapshot
Improvement of job completion time in data-intensive cloud computing applications
inferred← citeshttps://doi.org/10.1587/transfun.e101.a.778openalex-snapshot
Naive Bayes Classifier Based Partitioner for MapReduce
inferred← citeshttps://doi.org/10.18293/dms2017-002openalex-snapshot
Improving MapReduce Performance By Using A New Partitioner In YARN
inferred← citeshttps://doi.org/10.3997/1873-0604.2013018openalex-snapshot
Real‐time imaging and data analysis for shallow seismic data using a cloud‐computing portal
inferred← citeshttps://doi.org/10.48550/arxiv.1407.7360openalex-snapshot
A Taxonomy and Survey on eScience as a Service in the Cloud
inferred← citeshttps://doi.org/10.48550/arxiv.1911.11181openalex-snapshot
Bivariate, Cluster and Suitability Analysis of NoSQL Solutions for Different Application Areas
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