Cloud Computing Fundamentals
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This document discusses cloud computing fundamentals. It defines cloud computing as a model for enabling ubiquitous, on-demand access to a shared pool of configurable computing resources over the internet. The document outlines key cloud service providers like AWS, Azure, and Google Cloud. It also discusses deployment models including private, public, hybrid and community clouds. The document lists requirements for cloud like security, portability, and flexibility. Finally, it notes benefits of cloud like reduced costs, accessibility, and improved flexibility.
![Cloud Computing
Fundamentals
Yong Heui Cho @ Mokwon University
Some of slides are referred to and all credits should go to:
[1] K. Chandrasekaran, Essentials of Cloud Conputing, CRC Press, 2015.](https://image.slidesharecdn.com/2-180228062003/85/Cloud-Computing-Fundamentals-1-320.jpg)
Cloud Computing Fundamentals
- 1. Cloud Computing Fundamentals Yong Heui Cho @ Mokwon University Some of slides are referred to and all credits should go to: [1] K. Chandrasekaran, Essentials of Cloud Conputing, CRC Press, 2015.
- 2. 2 Cloud Service 1. Computing Paradigm 2. Cloud Computing Fundamentals 3. JavaScript Basics 4. Node.js Basics
- 3. 3 Cloud Computing • Why cloud? – Cost – Flexibility – Security – Storage • Internet!
- 4. 4 Definition • Cloud computing is a model for enabling ubiquitous, 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.
- 5. 5 Cloud Provider • Amazon Web Services • Microsoft Azure • IBM/Google Cloud
- 6. 6 AWS Data Centers Edge location: contents are cached after retrieving them from the origin server
- 7. 7 Example of Game Server
- 8. 8 Netflix Using AWS Cloud
- 10. 10 4 Deployment Models • Private cloud • Public cloud • Community cloud • Hybrid cloud
- 11. 11 3 Service Models AWS Google App Engines MS Azure Services
- 12. 12 Requirements for Cloud (I) • Multitenancy – Maximizing resource sharing • Service life cycle management – Started and ended at any time • Security • Responsiveness – Early detection and fixing of service-related problems
- 13. 13 Requirements for Cloud (II) • Intelligent service deployment – Efficient use of resources with maintaining the SLA (Service Level Agreement) • Portability – Cloud workload portability with limited service disruption • Interoperability – Working together with heterogeneous systems
- 14. 14 Requirements for Cloud (III) • Regulatory aspects – Including privacy protection • Environmental sustainability – Especially in data centers • Service reliability – QoS (quality of service) • Service access – Easy access to cloud services
- 15. 15 Requirements for Cloud (IV) • Flexibility – Supporting multiple deployment models and service categories • Accounting and charging – Various accounting and charging models and policies • Massive data processing
- 16. 16 Benefits of Cloud (I) • Achieve economies of scale • Reduce spending on infrastructure • Globalize the workforce: worldwide access • Streamline business processes: more work in less time and resource • Reduce capital costs • Pervasive accessibility: accessed anytime and anywhere
- 17. 17 Benefits of Cloud (II) • Monitor projects more effectively • Less personal training is needed • Minimize maintenance and licensing software • Improved flexibility