21-03-2011, 12:58 PM
Cloudppt.ppt (Size: 1.27 MB / Downloads: 184)
What is Cloud Computing?
Definitions:
“Cloud computing is a general term for anything that involves delivering hosted services over the internet.” – Wikipedia
“Cloud computing is Internet-based computing, whereby shared resources, software, and information are provided to computers and other devices on demand, like the electricity grid.”- Wikipedia
Basically a cloud is a virtualization of resources that manages and maintains itself.
• Enterprise Software today
• Cloud Computing Layers
• What is a Cloud?
Why Cloud computing?
• Traditional Software
• Software as a Service
• Cloud Computing
Cloud Anatomy
Broadly classified under the three categories:
1. IaaS: Infrastructure as a service.
2. PasS: Platform as a service.
3. SaaS: Application/Software as a Service.
Infrastructure as a Service (IaaS):
Cloud infrastructure services or "Infrastructure as a Service (IaaS)" delivers computer infrastructure, typically a platform virtualization environment as a service. Rather than purchasing servers, software, data center space or network equipment, clients instead buy those resources as a fully outsourced service.
Examples:- IBM Blue house, VMWare, Amazon EC2, Microsoft Azure Platform, Sun Parascale and more
Benefits to the clients:
u 1. Stop worrying about heavy traffic and bandwidth requirements.
u 2. Pay as you go.
u 3. No need to buy high configuration servers from day one.
u 4. Low maintenance.
Platform as a Service (PaaS):
Platform-as-a-service in the cloud is defined as a set of software and product development tools hosted on the provider’s infrastructure.
Developers create applications on the provider’s platform over the Internet. PaaS providers may use APIs, website portals or gateway software installed on the customer’s computer Force.com, (an outgrowth of Salesforce.com) and GoogleApps are examples of PaaS.
Developers need to know that currently, there are not standards for interoperability or data portability in the cloud. Some providers will not allow software created by their customers to be moved off the provider’s platform.
Examples:- Middleware, Intergation, Messaging, Information, connectivity etc
AWS, IBM Virtual images, Boomi, CastIron, Google Appengine
Software as a Service (SaaS):
In the software-as-a-service cloud model, the vendor supplies the hardware infrastructure, the software product and interacts with the user through a front-end portal. SaaS is a very broad market. Services
can be anything from Web-based email to inventory control and database processing. Because the service provider hosts both the application and the data, the end user Is free to use the service from
anywhere. There are several successful SaaS model running all over the web.
Examples:-
Gmail, GoogleCalender
Payroll, HR, CRM etc
Sugarm CRM, IBM Lotus Live
Types Of Clouds
• Public Cloud: the services are delivered to the client via the Internet from a third party service provider.
Example: Amazon
• Private Cloud: these services are managed and provided within the organization. There are less restriction on network bandwidth, fewer security exposures and other legal requirements compared to the public Cloud.
Example: HP Data Centers
Cloud computing technology
Utility computing
• To say it simply, it is a price model based on resource usage quantity.
• Utility computing allows companies to only pay for the computing resources they need, when they need them.
• The main benefit of utility computing is better economics.
What cloud computing means to users?
• Lower client workload
• Lower Total Cost Ownership
• Separation of infrastructure maintenance duties from
• domain-specific application development
• Separation of application code from physical resources
• Not have to purchase assets for one-time or infrequent intensive computing tasks
• Expand resource on-demand
• Make the application have high availability
• Quickly deploy application
• Pay per use
• Cloud computing infrastructure
features
• Self-healing
• Multi-tenancy
• Virtualized
• Linearly Scalable
• Resource Monitor and measure
• Resource registration and discovery
• Difficulties for cloud computing
• Continuous high availability
Consistency
• Interoperability and standardization
• Scalability of all components
• Data secrecy
• Legal and political problem of data store and
translation across regions
• Performance issue
• Difficulty customizing
• Organizational obstacle
Cloud computing products and market
• Market Opportunities
• Cloud Providers
• Cloud computing open source
projects
Infrastructure management projects :-
Enomalism, convirt, redhat genome, hyperVM.
lxlabs, LN, OpenNEbula.
Useful open source projects to build cloud platform-:
Kenso, hyperic, virt-P2V