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
Cloud Computing Deployment Models #
Public: The infrastructure is made available to the general public or a large industry group and is owned by an organization selling cloud services. It is also referred to as ‘external’ Cloud that describes the conventional meaning of Cloud computing: scalable, dynamically provisioned, often virtualized resources available over the internet from an off-site third party provider, which divides up resources and bills its customers on a ‘utility’ basis.
Public cloud applications, storage, and other resources are made available to the general public by a service provider. These services are free or offered on a pay-per-use model. Generally, public cloud service providers like Amazon AWS, Microsoft and Google own and operate the infrastructure and offer access only via Internet (direct connectivity is not offered).
Private: The infrastructure is operated solely for an organization; it may be managed by the organization or a third party and may exist on or off the premises of the organization. It is also referred to as ‘corporate’ or ‘internal’ Cloud, term used to denote a proprietary computing architecture providing hosted services on private networks.
A private cloud could provide the computing resources needed for a large organization, e.g., a research institution, a university, or a corporation. There are some arguments that a private cloud does not support utility computing when the user pays as it consumes resources.
Undertaking a private cloud project requires a significant level and degree of engagement to virtualize the business environment, and it will require the organization to reevaluate decisions about existing resources. When it is done right, it can have a positive impact on a business, but every one of the steps in the project raises security issues that must be addressed in order to avoid serious vulnerabilities
Community: Community cloud shares infrastructure between several organizations from a specific community with common concerns (security, compliance, jurisdiction, etc.), whether managed internally or by a third-party and hosted internally or externally. The costs are spread over fewer users than a public cloud (but more than a private cloud), so only some of the cost savings potential of cloud computing are realized
Hybrid: Here, the infrastructure is a composition of two or more clouds (private, or public) that remain unique entities but are bound together by standardized or proprietary technology that enables data and application portability (e.g., cloud bursting for load-balancing between clouds). Cloud bursting is an application deployment model in which an application runs in a private cloud or data center and bursts into a public cloud when the demand for computing capacity spikes. The advantage of such a hybrid cloud deployment is that an organization only pays for extra compute resources when they are needed. Experts recommend cloud bursting for high performance, non-critical applications that handle non-sensitive information. An application can be deployed locally and then burst to the cloud to meet peak demands, or the application can be moved to the public cloud to free up local resources for business- critical applications. Cloud bursting works best for applications that don’t depend on a complex application delivery infrastructure or integration with other applications, components and systems internal to the data center.
By utilizing "hybrid cloud" architecture, companies and individuals are able to obtain degrees of fault tolerance combined with locally immediate usability without dependency on internet connectivity. Hybrid cloud architecture requires both on- premises resources and off-site (remote) server-based cloud infrastructure.
Hybrid clouds lack the flexibility, security and certainty of in-house applications. Hybrid cloud provides the flexibility of in house applications with the fault tolerance and scalability of cloud based services.
Fig: Types of Cloud Deployment Models