2022 Cloud Computing and Big Data Lecture 8 Infrastructure as a Service (IAAS) Part2 💻
2022 Cloud Computing and Big Data Lecture 8 Infrastructure-As-A-Service (IAAS) - 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 2022
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: Understanding IAAS Provisioning
Different Cloud Service Levels with IAAS, PAAS, and SAAS
Amazon Web Services (AWS) Examples & AWS Management Console
Review of Services that Build on top of IAAS such as AWS EC2
Configuration & Launching EC2 Instances to create Virtual Servers
Payment Models Reviewed & vCPU/Memory pricing
Part Two: Advanced IAAS Topics & Applications
Cloud Storage with Amazon S3 / EBS / EFS and Verne Global
AWS Marketplace & Users for Diverse Applications & Workloads
Openstack and IAAS Deployment Options with Application Example
Iceland Advania Data Center Example with HPC IAAS via HPCFlow
NetApp Application Example as Different Cloud Service Provider