Cloud computing reference model:
The reference model for cloud computing is an abstract model that characterizes and standardizes a cloud computing environment by partitioning it into abstraction layers and cross-layer functions.
If we look in to the reference model as seen in above image we will find classification of Cloud Computing services:
1. Infrastructure-as-a-Service (IaaS),
2. Platform-as-a-Service (PaaS), and
3. Software-as-a-Service (SaaS).
4. Web 2.0
4. Web 2.0
1. Infrastructure as a service (IaaS) is a cloud computing offering in which a vendor provides users access to computing resources such as servers, storage and networking.
2. Platform as a service (PaaS) is a cloud computing offering that provides users with a cloud environment in which they can develop, manage and deliver applications.
3. Software as a service (SaaS) is a cloud computing offering that provides users with access to a vendor’s cloud-based software. Users do not install applications on their local devices. Instead, the applications reside on a remote cloud network accessed through the web or an API. Through the application, users can store and analyze data and collaborate on projects.
Web 2.0 is the term used to describe a variety of web sites and applications that allow anyone to create and share online information or material they have created. A key element of the technology is that it allows people to create, share, collaborate & communicate.
Cloud Computing:
EasyExamNotes.com covered following topics in Cloud Computing.
- Introduction to Cloud Computing
- Historical development of Cloud Computing
- Vision of Cloud Computing
- Characteristics of cloud computing as per NIST
- Cloud computing reference model
- Cloud computing environments
- Cloud services requirements
- Cloud and dynamic infrastructure
- Cloud Adoption and rudiments
- Cloud application: ECG Analysis in the cloud
- Cloud application: Protein structure prediction
- Cloud application: Gene Expression Data Analysis
- Cloud Computing Architecture
- Types of Clouds
- Cloud Interoperability & Standards
- Scalability and Fault Tolerance
- Cloud Ecosystem
- Cloud Business Process Management
- Cloud Service Management
- Cloud Analytics
- Testing Under Control
- Virtual Desktop Infrastructure
- Cloud Resiliency
- Cloud Provisioning
- Asset management
- Concepts of Map reduce
- Cloud Governance
- High Availability and Disaster Recovery
- Virtualization in cloud computing
- Server virtualization
- Hypervisor management software
- Third Party Cloud Services
- Case Study: Google App Engine
- Case Study: Microsoft Azure
- Case Study: Hadoop
- Case Study: Amazon