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Evaluating High Performance Computing on the Windows Azure Platform
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Reproducible Measurements of MPI Performance Characteristics
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Co-array Fortran Performance and Potential: An NPB Experimental Study
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High Performance Parallel Computing with Clouds and Cloud Technologies
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Workload Migration into Clouds Challenges, Experiences, Opportunities
inferredcites →https://doi.org/10.1109/cloudcom.2010.69openalex-snapshot
Performance Analysis of High Performance Computing Applications on the Amazon Web Services Cloud
inferredcites →https://doi.org/10.1109/ipdps.2009.5160911openalex-snapshot
Cost-benefit analysis of Cloud Computing versus desktop grids
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eScience in the cloud: A MODIS satellite data reprojection and reduction pipeline in the Windows Azure platform
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The cost of doing science on the cloud: The Montage example
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Performance Analysis of Cloud Computing Services for Many-Tasks Scientific Computing
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The cost of doing science on the cloud: the Montage example
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.
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High Performance Computing in the cloud: Deployment, performance and cost efficiency
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HPC Environment on Azure Cloud for Hydrological Parameter Estimation
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A comparative review of high-performance computing major cloud service providers
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Benchmarking Microsoft Azure Virtual Machines for the use of HPC applications
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Price efficiency in High Performance Computing on Amazon Elastic Compute Cloud provider in Compute Optimize packages
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MPI Meets Cloud: Case Study with Amazon EC2 and Microsoft Azure
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Toward cloud computing QoS architecture: analysis of cloud systems and cloud services
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A User Perspective Overview of The Top Infrastructure as a Service and High Performance Computing Cloud Service Providers
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Analyzing the Cost-Effectiveness of Running HPC Applications on Microsoft Azure Virtual Machines
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Towards Weather Forecasting in the Cloud
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AutoElastic: Automatic Resource Elasticity for High Performance Applications in the Cloud
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Robust Performance-Based Resource Provisioning Using a Steady-State Model for Multi-Objective Stochastic Programming
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ElCity: An Elastic Multilevel Energy Saving Model for Smart Cities
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Cloud Infrastructures for In Silico Drug Discovery: Economic and Practical Aspects
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Performance Analysis of SaaS Ticket Management Systems
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Using Clouds for Technical Computing
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Cloud Systems and Applications : A Review
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A Novel Performance Enhancing Task Scheduling Algorithm for Cloud-Based E-Health Environment
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Development of Student Information Management System based on Cloud Computing Platform
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COMPARATIVE STUDY OF CLOUD PLATFORMS -MICROSOFT AZURE, GOOGLE CLOUD PLATFORM AND AMAZON EC2
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Elasticidade em cloud computing: conceito, estado da arte e novos desafios
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REVIEW PAPER ON COMPARISON OF AWS, MICROSOFT AZURE AND GOOGLE CLOUD PLATFORM
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.