2024 Cloud Computing and Big Data Lecture 4 Virtualization and Data Center Design Part2 💻
2024 Cloud Computing and Big Data Lecture 4 Virtualization and Data Center Design 💻 Part – Two
Cloud Computing & Big Data Course
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 2024
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. Hyperparameter Optimization & AutoML
14. OpenStack Cloud Operating System
15. Online Social Networking & Graph Databases
16. Epilogue
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Thank you professor for sharing this lecture.
Do you think the promise of economic of scale is still relevant with current cloud providers?
I believe cloud is getting expensive and even more expensive, even though they benefit from the economic of scales. Companies are moving away from public cloud as they failed to fullfill the promise of economic of scale.