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>	  - Storage virtualization
<br>	  - Network virtualization
<br>          - Infrastructure as code
<br>          - Data center management
<br>          - Resource management systems
<br>     - Platform as a Service (PaaS)
<br>         - Programming languages
<br>         - MapReduce/Hadoop
<br>         - Non-SQL databa<x>se
<br>         - Spark in memory processing
<br>         - Streaming data processing
<br>     - Software as a Service (SaaS)
<br>         - Microservice
<br>         - Container technology
<br>         - Orchestration tools
<br>         - Queue system
<br>     - Fog computing system
<br>     - IOT system
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<br>Lab Assignments
<br>  1. virtual machine operations
<br>  2. MapReduce/hadoop operations
<br>  2. container operations
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<br>Term Project
<br>  1. Find 2 or 3 technology, 
<br>  2. Present the related papers.
<br>  3. Performance experiments to compare and contrast their strength and 
<br>weakness or differences.
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<br>Grading:
<br>1. Term project: Paper presentation and report: 50%
<br>2. Assignment: 45%
<br>3. Class Presentation & Participation: 5%
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