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Performing Large Science Experiments on Azure: Pitfalls and Solutions

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What this work says

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

inferredcites →https://doi.org/10.1006/jmbi.1990.9999openalex-snapshot
Basic Local Alignment Search Tool
inferredcites →https://doi.org/10.1016/s0167-739x(00)00057-1openalex-snapshot
Parallelization of local BLAST service on workstation clusters
inferredcites →https://doi.org/10.1109/cloud.2010.72openalex-snapshot
Bridging the Gap between Desktop and the Cloud for eScience Applications
inferredcites →https://doi.org/10.1109/clustr.2009.5289187openalex-snapshot
Using clouds for metagenomics: A case study
inferredcites →https://doi.org/10.1109/hpc.2000.846563openalex-snapshot
Nimrod/G: an architecture for a resource management and scheduling system in a global computational grid
inferredcites →https://doi.org/10.1109/hpdc.1995.518701openalex-snapshot
Nimrod: a tool for performing parametrised simulations using distributed workstations
inferredcites →https://doi.org/10.1109/ipdps.2010.5470418openalex-snapshot
eScience in the cloud: A MODIS satellite data reprojection and reduction pipeline in the Windows Azure platform
inferredcites →https://doi.org/10.1109/sc.2000.10061openalex-snapshot
The AppLeS Parameter Sweep Template: User-Level Middleware for the Grid
inferredcites →https://doi.org/10.1145/1851476.1851537openalex-snapshot
AzureBlast
inferredcites →https://doi.org/10.1145/1851476.1851538openalex-snapshot
Seeking supernovae in the clouds

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-1-4939-1905-5_11openalex-snapshot
Executing Storm Surge Ensembles on PAAS Cloud
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/10.1007/978-3-642-37137-0_10openalex-snapshot
Malaysian Parasite Database Infrastructure
inferred← citeshttps://doi.org/10.1007/978-3-662-44879-3_2openalex-snapshot
Windows Azure: Resource Organization Performance Analysis
inferred← citeshttps://doi.org/10.1016/b978-0-12-404627-6.00004-xopenalex-snapshot
Cloud Computing: Applications and Paradigms
inferred← citeshttps://doi.org/10.1016/j.cageo.2014.07.014openalex-snapshot
A hierarchical network-based algorithm for multi-scale watershed delineation
inferred← citeshttps://doi.org/10.1016/j.simpat.2013.04.002openalex-snapshot
A survey of mathematical models, simulation approaches and testbeds used for research in cloud computing
inferred← citeshttps://doi.org/10.1080/17538947.2012.687778openalex-snapshot
Cloud computing for integrated stochastic groundwater uncertainty analysis
inferred← citeshttps://doi.org/10.1109/ccgrid.2012.46openalex-snapshot
An Analysis of Provisioning and Allocation Policies for Infrastructure-as-a-Service Clouds
inferred← citeshttps://doi.org/10.1109/cloud.2012.140openalex-snapshot
Lessons Learnt from the Development of GIS Application on Azure Cloud Platform
inferred← citeshttps://doi.org/10.1109/cloud.2015.121openalex-snapshot
Simulation Runner: A Cloud-Based Parallel and Distributed HPC Platform
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/cluster.2011.44openalex-snapshot
Automatic Task Re-organization in MapReduce
inferred← citeshttps://doi.org/10.1109/cse.2014.83openalex-snapshot
HPC Environment on Azure Cloud for Hydrological Parameter Estimation
inferred← citeshttps://doi.org/10.1109/cts.2011.5928677openalex-snapshot
Measured characteristics of futuregrid clouds for scalable collaborative sensor-centric grid applications
inferred← citeshttps://doi.org/10.1109/escience.2011.26openalex-snapshot
Assessing the Value of Cloudbursting: A Case Study of Satellite Image Processing on Windows Azure
inferred← citeshttps://doi.org/10.1109/escience.2012.6404420openalex-snapshot
Calibration of watershed models using cloud computing
inferred← citeshttps://doi.org/10.1109/hpcc-css-icess.2015.328openalex-snapshot
AzureRender: A Cloud-Based Parallel and Distributed Rendering System
inferred← citeshttps://doi.org/10.1109/ipdps.2011.258openalex-snapshot
CloudClustering: Toward an Iterative Data Processing Pattern on the Cloud
inferred← citeshttps://doi.org/10.1109/ipdpsw.2012.128openalex-snapshot
AzureBench: Benchmarking the Storage Services of the Azure Cloud Platform
inferred← citeshttps://doi.org/10.1109/telfor.2014.7034602openalex-snapshot
Application for modern energy efficient data center
inferred← citeshttps://doi.org/10.1109/ucc.2012.23openalex-snapshot
Stochastic Tail-Phase Optimization for Bag-of-Tasks Execution in Clouds
inferred← citeshttps://doi.org/10.1145/2287036.2287040openalex-snapshot
Middleware alternatives for storm surge predictions in Windows Azure
inferred← citeshttps://doi.org/10.1145/2486767.2486772openalex-snapshot
A vision for personalized service level agreements in the cloud
inferred← citeshttps://doi.org/10.17148/ijarcce.2018.7107openalex-snapshot
A Review on Cloud Performance Techniques
inferred← citeshttps://doi.org/10.17762/itii.v9i2.392openalex-snapshot
Integrated Geo Cloud Solution for Seismic Data Processing
inferred← citeshttps://doi.org/10.25148/etd.fi12120515openalex-snapshot
Interoperable Resource Brokering with Policy-based Provisioning and Job Allocation
inferred← citeshttps://doi.org/10.47893/ijcct.2012.1140openalex-snapshot
IMPROVING ACCESSIBILITY OF MOBILE CLOUD COMPUTING USING MULTIDIMENSIONAL DATA STRUCTURE
inferred← citeshttps://doi.org/10.48550/arxiv.2110.15453openalex-snapshot
Using Text Analytics for Health to Get Meaningful Insights from a Corpus of COVID Scientific Papers
inferred← citeshttps://doi.org/10.5555/2499968.2499982openalex-snapshot
Storm surge simulation and load balancing in Azure cloud
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