On the public citation graph

Rapid 3D Seismic Source Inversion Using Windows Azure and Amazon EC2

0 signed · 32 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

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/cloudcom.2010.110openalex-snapshot
Rapid Processing of Synthetic Seismograms Using Windows Azure Cloud
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/10.1111/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
inferredcites →https://doi.org/10.1145/1851476.1851535openalex-snapshot
Case study for running HPC applications in public clouds

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-319-01571-2_10openalex-snapshot
Resource Scaling Performance for Cache Intensive Algorithms in Windows Azure
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.jss.2013.04.021openalex-snapshot
On evaluating commercial Cloud services: A systematic review
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.2016.0078openalex-snapshot
Auto-tuning Performance of MPI Parallel Programs Using Resource Management in Container-Based Virtual Cloud
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/cloud53861.2021.00058openalex-snapshot
SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis
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/tcc.2019.2902377openalex-snapshot
Evaluating Distributed Computing Infrastructures: An Empirical Study Comparing Hadoop Deployments on Cloud and Local Systems
inferred← citeshttps://doi.org/10.15439/2014f331openalex-snapshot
Performance Analysis of SaaS Ticket Management Systems
inferred← citeshttps://doi.org/10.18293/dms2017-002openalex-snapshot
Improving MapReduce Performance By Using A New Partitioner In YARN
inferred← citeshttps://doi.org/10.26686/wgtn.17000572openalex-snapshot
Towards a Social Cloud Framework for Collaborative eResearch
inferred← citeshttps://doi.org/10.26686/wgtn.17000572.v1openalex-snapshot
Towards a Social Cloud Framework for Collaborative eResearch
inferred← citeshttps://doi.org/10.3233/978-1-61499-322-3-81openalex-snapshot
Using Clouds for Technical Computing
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/10.5753/wscad.2014.14999openalex-snapshot
Análise de Desempenho de um Simulador de Reservatórios de Petróleo em um Ambiente de Computação em Nuvem
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.