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  • 281pp. Published May 2018
  • Scientific Research Publishing,Inc.,USA
  • Category: Computer Science & Communications
  • ISBN: 978-1-61896-561-5
  • (Paperback) USD 89.00
  • ISBN: 978-1-61896-562-2
  • (E-Book) USD 29.00

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Home > Books > Cloud Computing for Scientific Research
Cloud Computing for Scientific Research
  • Description
  • E-Book
  • Author(s) Information
I introduce the cloud computing fundamentals, architecture of layers, and scientific services on the cloud firstly. Then, I introduce several typical commercial cloud computing platforms, such as Amazon Cloud Computing, Microsoft Azure, and Google Cloud Platform. Lastly, I discuss the scientific cloud computing based on these three commercial cloud computing platforms.
Components of the Book:
  • FRONT MATTER
    • Head Page
    • Copyright
    • Acknowledgements
  • Dedication
  • About the Author
  • Content
  • Chapter 1 Fundamentals of Cloud Computing
    • 1.1. Introduction
    • 1.2. Key Technologies
    • 1.3. Features of Cloud Computing
    • 1.4. Cloud Computing Platforms
    • 1.5. Challenges of Cloud Computing
    • 1.6. Future of Cloud Computing
    • References
  • Chapter 2 Architecture Layers of Cloud Computing
    • 2.1. Infrastructure as a Service (IaaS)
    • 2.2. Platform as a Service (PaaS)
    • 2.3. Software as a Service (SaaS)
    • References
  • Chapter 3 Scientific Service on the Cloud
    • 3.1. Introduction
    • 3.2. Scientific Programming Paradigms
    • 3.3. Delivering Scientific Computing Services on the Cloud
    • 3.4. Conclusion
    • References
  • Chapter 4 Commercial Products of Public Cloud Computing
    • 4.1. Amazon Cloud Computing
    • 4.2. Microsoft Azure
    • 4.3. Google App Engine
    • References
  • Chapter 5 HPC on Amazon EC2
    • 5.1. Introduction
    • 5.2. AWS Features for HPC
    • 5.3. Loosely Coupled High Throughput Computing
    • 5.4. Tightly Coupled High Performance Computing
    • 5.5. Evaluation the Free-Tier Cluster on Amazon EC2 for HPC
    • 5.6. Cloud Storage for Seismic Big Data
    • 5.7. HPC on Amazon EC2 for Geophysical Inver-sion
    • References
  • Chapter 6 HPC on Microsoft Azure
    • 6.1. Introduction
    • 6.2. HPC Architecture on Microsoft Azure
    • 6.3. Scalability and Communication Performance of HPC on Microsoft Azure
    • 6.4. Azure HPC for Engineering Simulations
    • 6.5. Aerospace Engineering Application Microsoft Azure HPC
    • References
  • Chapter 7 Scalability and Communication Performance of HPC on Microsoft Azure
    • 7.1. Introduction
    • 7.2. HPC Architecture on Google Cloud Plat-form
    • 7.3. HPC on Google Cloud Platform
    • References
Readership: Researchers, students, scientific enthusiasts who are interested in computer science.
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