This document outlines the syllabus for a 15-week cloud computing course. The course covers topics such as virtual machines, virtual private clouds, cloud services, elastic compute service, auto scaling, object storage, relational data service, cloud security, Kubernetes, and cloud platforms for AI. Students will complete assignments, a midterm exam, final exam, and capstone project. Assessment is based on attendance, midterm exam, assignments/project, and final exam.

1. DSA 441 – Cloud Computing
Week 1: Introduction to Cloud Computing - Migration from Physical servers -
Architecture comparison
Asst. Prof. Dr. Ferdin Joe John Joseph
Faculty of Information Technology
Thai-Nichi Institute of Technology, Bangkok

2. Syllabus
Introduction to Cloud Computing - Migration from Physical servers - Architecture comparison
Week 1
Virtual Machines - VM Ware or Virtual Box
Week 2
Virtual Private Cloud - IaaS, PaaS, SaaS
Week 3
Introduction to Cloud Services - Hadoop and Big Data
Week 4
Elastic Compute Service with demo on deploying webserver in ECS
Week 5
Auto Scaling and Server Load Balancer
Week 6
Mid Term Examination
Week 7
Object Storage Service
Week 8
Relational Data Service
Week 9
Cloud Security, Managing DDoS
Week 10
Cloud Native Kubernetes and Dockers
Week 11
Cloud Platform for AI
Week 12
Capstone Project
Week 13
Project Presentation
Week 14
Final Examination
Week 15
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3. DSA 107 – A Road Map
Attendance
(10%)
Mid Exam
(30%)
Assignments
and Project
(20%)
Final Exam
(40%)
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4. Software Engineering
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5. On Premises Infrastructure
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6. On Premises Infrastructure
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7. On Premises Infrastructure
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8. On Premises Infrastructure
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9. On Premises Infrastructure
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10. On Premises Infrastructure
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11. On Premises Infrastructure
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12. Necessity is the mother of invention
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13. Covid -19 Impact on Cloud
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14. Activity
• List down the cloud services you have been using in your daily life.
Write them in your messenger box.
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15. Introduction to Cloud
Computing

16. Video – Cloud Computing
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17. Cloud Definition
• Definition from NIST(National Institute of Standards and Technology)
▪ Cloud computing is a model for enabling convenient, on-demand
network access to a shared pool of configurable computing
resources (e.g., networks, servers, storage, applications, and
services) that can be rapidly provisioned and released with
minimal management effort or service provider interaction.
▪ This cloud model promotes availability and is composed of five
essential characteristics, three service models, and four
deployment models.
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18. In Our Humble Opinion
• Cloud computing is a paradigm of computing, a new way of thinking about IT
industry but not any specific technology.
• Central ideas
• Utility Computing
• SOA - Service Oriented Architecture
• SLA - Service Level Agreement
• Properties and characteristics
• High scalability and elasticity
• High availability and reliability
• High manageability and interoperability
• High accessibility and portability
• High performance and optimization
• Enabling techniques
• Hardware virtualization
• Parallelized and distributed computing
• Web service
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19. Properties and Characteristics
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20. Scalability & Elasticity
• What is scalability ?
• A desirable property of a system, a network, or a process, which
indicates its ability to either handle growing amounts of work in
a graceful manner or to be readily enlarged.
• What is elasticity ?
• The ability to apply a quantifiable methodology that allows for
the basis of an adaptive introspection with in a real time
infrastructure.
• But how to achieve these properties ?
• Dynamic provisioning
• Multi-tenant design
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21. Availability & Reliability
• What is availability ?
• The degree to which a system, subsystem, or equipment is in a
specified operable and committable state at the start of a
mission, when the mission is called for at an unknown time.
• Cloud system usually require high availability
• Ex. “Five Nines” system would statistically provide 99.999% availability
• What is reliability ?
• The ability of a system or component to perform its required
functions under stated conditions for a specified period of time.
• But how to achieve these properties ?
• Fault tolerance system
• Require system resilience
• Reliable system security
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22. Fault Tolerance
• What is fault tolerant system ?
• Fault-tolerance is the property that enables a system to continue
operating properly in the event of the failure of some of its
components.
• If its operating quality decreases at all, the decrease is
proportional to the severity of the failure, as compared to a
naively-designed system in which even a small failure can cause
total breakdown.
• Four basic characteristics :
• No single point of failure
• Fault detection and isolation to the failing component
• Fault containment to prevent propagation of the failure
• Availability of reversion modes
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23. Parallel Processing
• Parallel Processing
• Parallel processing is a form of computation in which many
calculations are carried out simultaneously, operating on
the principle that large problems can often be divided into
smaller ones, which are then solved concurrently.
• Parallelism in different levels :
• Bit level parallelism
• Instruction level parallelism
• Data level parallelism
• Task level parallelism
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24. Benefits From Cloud
• Cloud computing brings many benefits :
• For the market and enterprises
• Reduce initial investment
• Reduce capital expenditure
• Improve industrial specialization
• Improve resource utilization
• For the end user and individuals
• Reduce local computing power
• Reduce local storage power
• Variety of thin client devices in daily life
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26. Cloud Providers
Cloud Provider Headquarters
1. Amazon Web Services (AWS) USA
2. Microsoft Azure USA
3. Alibaba Cloud Singapore
4. Google Cloud USA
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27. Users and Providers of Cloud Computing
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28. Types of Cloud
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29. Types of Cloud
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30. Public Cloud
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31. Private Cloud
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32. Hybrid Cloud
• Mix of Private and Public Cloud
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33. • Virtualization
• Virtual Box
• Hypervisor
Next Week
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