Syllabus of Cloud Computing
<br>Instructor: Che-Rung Lee
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<br>Goals: Introduction to cloud computing and its techniques, issues, and 
<br>ecosystems.
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<br>References:
<br>Class notes and selected journal/conference papers.
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<br>Contents:
<br>     - Introduction to Cloud Computing
<br>     - Infrastructure as a Service (IaaS)
<br>          - Server virtualization
<br>	  - Memory virtualization
<br>	  - IO virtualization
<br>          - GPU virtualization
<br>     - Data center management
<br>         - Resource management
<br>         - VM migration
<br>         - Memory consolidation
<br>         - Power management
<br>     - Edge computing system
<br>         - 5G/IOT
<br>         - Container technology
<br>         - Orchestration tools
<br>         - IOT
<br>     - Systems and architectures for AI applications
<br>         - AI training
<br>         - AI inference
<br>         - AI systems
<br>         - AI architecture
<br>     - Presentation
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<br>Grading:
<br>1. Assignment: 45%
<br>2. Paper presentation: 20%
<br>3. Final exam: 30% 
<br>4. Class Presentation & Participation: 5%
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