Collegenote
- Defining the Cloud
- Cloud Computing
- Emergence of Cloud Computing
- Cloud Based Service Models
- Grid Computing or Cloud Computing
- Components of Cloud Computing
- Cloud Computing Deployment Models
- Benefits of using cloud models
- Legal Issues in Using Cloud Models
- Ethical issues in cloud computing
- Characteristics of Cloud Computing
- Evolution of cloud computing
- Challenges for cloud computing
- Grid Computing
- Distributed Computing in Grid and Cloud
- Cloud Communication
- Communication-as-a-Service (CaaS)
- Advantages of CaaS
- Infrastructure-as-a-Service (IaaS)
- Popular IaaS solutions
- Modern On-Demand Computing
- Amazon’s Elastic Cloud
- Amazon EC2 Service Characteristics
- Elastic IP Addressing
- Monitoring-as-a-Service (MaaS)
- The Traditional On-Premises Model
- Platform-as-a-Service (PaaS)
- Key Characteristics of PaaS
- Software-as-a-Service
- SaaS Implementation Issues
- The key characteristics of SaaS
- Benefits of SaaS Model
- Jericho Cube Model
- XaaS
- Evolution from Managed service providers (MSP) to Cloud Computing
- Single Purpose architectures to multi-purpose architectures
- Service Oriented Architectures (SOA)
- Combining Cloud and SOA
- Characterizing SOA
- Open Source Software in Data Centers
- Data center virtualization
- Cloud data center
Data Security #
The ultimate challenge in cloud computing is data-level security, and sensitive data is the domain of the enterprise, not the cloud computing provider. Security will need to move to the data level so that enterprises can be sure their data is protected wherever it goes. For example, with data-level security, the enterprise can specify that this data is not allowed to go outside of the United States. It can also force encryption of certain types of data, and permit only specified users to access the data. It can provide compliance with the Payment Card Industry Data Security Standard (PCI DSS). True unified end-to-end security in the cloud will likely requires an ecosystem of partners.