Cloud Computing for Scientific Research
Jie Xiong
(2018)
Cloud Computing for Scientific Research: pp.
122-180.
Chapter 5 HPC on Amazon EC2
The following sections are included:
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5.1. Introduction
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5.1.1. Amazon Web Services (AWS)
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5.1.2. HPC
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5.1.3. Grid and Clusters
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5.2. AWS Features for HPC
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5.2.1. A Wide Spectrum of HPC Applications in the Cloud
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5.2.2. Mapping HPC Application to AWS Features
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5.2.3. Factors that Make AWS Compelling for HPC
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5.3. Loosely Coupled High Throughput Computing
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5.3.1. Batch-Based Architecture
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5.3.2. Queue-Based Architecture
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5.3.3. Traditional Cluster Environment
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5.3.4. Serverless
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5.4. Tightly Coupled High Performance Computing
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5.4.1. Persistent Cluster
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5.4.2. Ephemeral Cluster
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5.4.3. HPC Microservices
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5.5. Evaluation the Free-Tier Cluster on Amazon EC2 for HPC
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5.5.1. Introduction
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5.5.2. Building a Free Tier Virtual Cluster on Amazon EC2
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5.5.3. Evaluating the Performance of Free Virtual Cluster
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5.5.4. Conclusion
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5.6. Cloud Storage for Seismic Big Data
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5.6.1. Introduction
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5.6.2. Design of Cloud Storage for the Seismic Big Data
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5.6.3. Implement the Cloud Storage for the Seismic Big Data
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5.6.4. Performance Evaluation Results and Analysis
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5.6.5. Conclusion
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5.7. HPC on Amazon EC2 for Geophysical Inver-sion
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5.7.1. Introduction
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5.7.2. Build Simulation Platform on Amazon EC2
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5.7.3. Cloud-Based Geophysical Inversion Modeling
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5.7.4. Results and Analysis
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5.7.5. Conclusion
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References