On the public citation graph

Amazon Elastic Compute Cloud (EC2) vs. In-House HPC Platform: A Cost Analysis

0 signed · 42 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1002/cpe.3316openalex-snapshot
A holistic model of the performance and the energy efficiency of hypervisors in a high‐performance computing environment
inferredcites →https://doi.org/10.1007/978-3-642-12636-9_9openalex-snapshot
A Performance Analysis of EC2 Cloud Computing Services for Scientific Computing
inferredcites →https://doi.org/10.1016/j.future.2012.06.009openalex-snapshot
Performance analysis of HPC applications in the cloud
inferredcites →https://doi.org/10.1016/j.future.2014.07.002openalex-snapshot
Comparison of a cost-effective virtual cloud cluster with an existing campus cluster
inferredcites →https://doi.org/10.1109/ccgrid.2013.65openalex-snapshot
Improving HPC Application Performance in Cloud through Dynamic Load Balancing
inferredcites →https://doi.org/10.1109/cloudcom.2010.115openalex-snapshot
Cost-Effective HPC: The Community or the Cloud?
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/cloudcom.2013.69openalex-snapshot
Towards Performance Prediction for Public Infrastructure Clouds: An EC2 Case Study
inferredcites →https://doi.org/10.1109/grid.2009.5353067openalex-snapshot
A quantitative analysis of high performance computing with Amazon's EC2 infrastructure: The death of the local cluster?
inferredcites →https://doi.org/10.1109/hpcsim.2014.6903792openalex-snapshot
Management of an academic HPC cluster: The UL experience
inferredcites →https://doi.org/10.1109/icppw.2010.45openalex-snapshot
The Characteristics of Cloud Computing
inferredcites →https://doi.org/10.1109/icppw.2014.62openalex-snapshot
HPC Performance and Energy-Efficiency of the OpenStack Cloud Middleware
inferredcites →https://doi.org/10.1109/ipdpsw.2012.186openalex-snapshot
Scientific Application Performance on HPC, Private and Public Cloud Resources: A Case Study Using Climate, Cardiac Model Codes and the NPB Benchmark Suite
inferredcites →https://doi.org/10.1109/tcc.2014.2339858openalex-snapshot
Evaluating and Improving the Performance and Scheduling of HPC Applications in Cloud
inferredcites →https://doi.org/10.1109/tcc.2015.2404821openalex-snapshot
Understanding the Performance and Potential of Cloud Computing for Scientific Applications
inferredcites →https://doi.org/10.1109/waina.2010.166openalex-snapshot
HPC Benchmarks on Amazon EC2
inferredcites →https://doi.org/10.1145/1851476.1851535openalex-snapshot
Case study for running HPC applications in public clouds
inferredcites →https://doi.org/10.1145/2063348.2063363openalex-snapshot
Cloud versus in-house cluster
inferredcites →https://doi.org/10.1145/2287036.2287045openalex-snapshot
Performance evaluation of Amazon EC2 for NASA HPC applications
inferredcites →https://doi.org/10.1145/2462902.2462919openalex-snapshot
A comparative study of high-performance computing on the cloud
inferredcites →https://doi.org/10.4203/ccp.107.20openalex-snapshot
Performance Evaluation of the XDEM Framework on the OpenStack Cloud Computing Middleware

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-032-17396-6_2openalex-snapshot
The FEniCS Project on AWS Graviton3
inferred← citeshttps://doi.org/10.1007/s11227-021-04248-8openalex-snapshot
Selecting services in the cloud: a decision support methodology focused on infrastructure-as-a-service context
inferred← citeshttps://doi.org/10.1029/2020ms002064openalex-snapshot
Enabling High‐Performance Cloud Computing for Earth Science Modeling on Over a Thousand Cores: Application to the GEOS‐Chem Atmospheric Chemistry Model
inferred← citeshttps://doi.org/10.1093/gigascience/giy028openalex-snapshot
Tracking the NGS revolution: managing life science research on shared high-performance computing clusters
inferred← citeshttps://doi.org/10.1109/cloud.2018.00015openalex-snapshot
Cost-Benefit Analysis of Public Clouds for Offloading In-House HPC Jobs
inferred← citeshttps://doi.org/10.1109/cloud.2018.00031openalex-snapshot
Hybrid HPC Cloud Strategies from the Student Cluster Competition
inferred← citeshttps://doi.org/10.1109/csitss.2017.8447814openalex-snapshot
Design of Predictive Model for Healthcare Assistance Using Voice Recognition
inferred← citeshttps://doi.org/10.1109/iceta48886.2019.9040027openalex-snapshot
Comparison of in-house HPC calculation with public cloud computing for parallel algorithm containing recursive functions
inferred← citeshttps://doi.org/10.1109/icnte51185.2021.9487678openalex-snapshot
Hybrid Authentication and Confidentiality framework for Secure Cloud Computing
inferred← citeshttps://doi.org/10.1109/ict.2017.7998279openalex-snapshot
RACE: Relinquishment-Aware Cloud Economics Model
inferred← citeshttps://doi.org/10.1109/sbac-pad55451.2022.00037openalex-snapshot
Strategies for Fault-Tolerant Tightly-Coupled HPC Workloads Running on Low-Budget Spot Cloud Infrastructures
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/10.1145/3332186.3333155openalex-snapshot
Community Clusters or the Cloud
inferred← citeshttps://doi.org/10.1175/bams-d-18-0243.1openalex-snapshot
Enabling Immediate Access to Earth Science Models through Cloud Computing: Application to the GEOS-Chem Model
inferred← citeshttps://doi.org/10.22158/elp.v7n1p99openalex-snapshot
Analysis of Strategies and Performance Based on the Background of Amazon Company
inferred← citeshttps://doi.org/10.22215/etd/2017-12172openalex-snapshot
A User Relinquishment-based Resource Assignment Scheme to Maximize the Net Profit of Cloud Service Providers
inferred← citeshttps://doi.org/10.25103/jestr.105.05openalex-snapshot
Study on Fault Tolerance Method in Cloud Platform based on Workload Consolidation Model of Virtual Machine
inferred← citeshttps://doi.org/10.3390/rs13234756openalex-snapshot
High Performance Computing in Satellite SAR Interferometry: A Critical Perspective
inferred← citeshttps://doi.org/10.35537/10915/122360openalex-snapshot
Plataforma colaborativa, distribuida, escalable y de bajo costo basada en microservicios, contenedores, dispositivos móviles y servicios en la Nube para tareas de cómputo intensivo
inferred← citeshttps://doi.org/10.5204/thesis.eprints.201328openalex-snapshot
Enabling large-scale dataset analysis in resource-constrained environments through application-aware preprocessing
inferred← citeshttps://doi.org/10.5821/dissertation-2117-330737openalex-snapshot
Adaptive learning-based resource management strategy in fog-to-cloud
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.