2021 Cloud Computing and Big Data Lecture 4 Virtualization and Data Center Design - Part One 💻

Parallel & Scalable Machine Learning & Deep Learning
16 university lectures with additional practical lectures for hands-on exercises in context
The University of Iceland, School of Engineering and Natural Sciences
Faculty of Industrial Engineering, Mechanical Engineering and Computer Science

Fall 2021

Course Outline

1. Cloud Computing & Big Data Introduction
2. Machine Learning Models in Clouds
3. Apache Spark for Cloud Applications
4. Virtualization & Data Center Design
5. Map-Reduce Computing Paradigm
6. Deep Learning driven by Big Data
7. Deep Learning Applications in Clouds
8. Infrastructure-As-A-Service (IAAS)
9. Platform-As-A-Service (PAAS)
10. Software-As-A-Service (SAAS)
11. Big Data Analytics & Cloud Data Mining
12. Docker & Container Management
13. OpenStack Cloud Operating System
14. Online Social Networking & Graph Databases
15. Big Data Streaming Tools & Applications
16. Epilogue


Lecture Outline

Part One: Virtualization enabling Cloud Computing Technologies
Different Terminologies like Virtual Machines & Virtual Layers
Techniques of Migration & Virtual Appliances
Understanding Virtual Machine Images & Instances
Virtualization enabling Resource Sharing & Useful Operations
Virtualization Software Architectures & Virtualized Servers

Part Two: Cloud Data Center Design
Economics of Scale Approach & Total Cost of Ownership
Data Center Construction Features & Role of System Failures
Building Data Center Infrastructure & Networking Aspects
Data Center Metrics & Scalability Requirements Analysis
Public/Private/Hybrid Cloud Deployment Models

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