Intoduction of cloud computing
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The document provides an overview of cloud computing, including its definition, architecture, deployment models, and service models such as IaaS, PaaS, and SaaS. It outlines the characteristics, advantages, and disadvantages of cloud technology, highlighting features like on-demand self-service, broad network access, and resource pooling. Additionally, it discusses the underlying technologies and offers examples of cloud services, emphasizing both their benefits and potential limitations.
Intoduction of cloud computing
- 1. CLOUD COMPUTING Presented by - Mohammad Ilyas Malik Branch - Computer Science Engineering E-mail – [email protected]
- 2. CONTENTS Introduction of cloud computing Cloud computing-architecture Models of cloud computing Characteristics OF Cloud computing. Cloud computing-technologies Advantages Disadvantages
- 3. Cloud End user: Application Business: infrastructue Developer: platform SAAS IAAS PASS COMPUTER CLIENT
- 4. Cloud Computing Cloud Computing refers to manipulating, configuring, and accessing the applications online. It offers online data storage, infrastructure and application. Cloud Computing is both a combination of software and hardware based computing resources delivered as a network service.
- 6. models OF cloud computing 1. Deployment Models 2. Service Models. These model make the cloud computing feasible and accessible to end users.
- 7. Deployment models Deployment models define the type of access to the cloud, i.e., how the cloud is located or access. four types of access: 1.Public. 2.Private. 3.Hybrid. 4.Community.
- 8. TYPES OF ACCESSABILITY Public cloud: The Public Cloud allows systems and services to be easily accessible to the general public. Public cloud may be less secure because its openness. Example: e-mail, Google, Amazon. Private cloud : The Private Cloud allows systems and services to be accessible within an organization. It offers increased security because of its private nature.
- 9. Community cloud : The Community Cloud allows systems and services to be accessible by group of organizations. Hybrid cloud : The Hybrid Cloud is mixture of public and private cloud. However, the critical activities are performed using cloud while the non-critical activities are performed using public cloud.
- 10. Service models Service Models are the reference models on which the Cloud Computing is based. These can be categorized into three basic service models as listed below: 1.Infrastructure as a Service (IaaS). 2.Platform as a Service (PaaS). 3.Software as a Service (SaaS).
- 11. Infrastructure as a Service Provides the computing infrastructure, physical or (quite often) virtual machines and other resources like virtual-machine disk image library, block and file-based storage, firewalls, load balancers, IP addresses, virtual local area networks etc. Examples: Amazon EC2, Windows Azure, Rackspace, Google Compute Engine.
- 12. Characteristics Virtual machines with pre-installed software. Virtual machines with pre-installed Operating Systems such as Windows, Linux, and Solaris. On-demand availability of resources. Allows to store copies of particular data in different locations. The computing resources can be easily scaled up and down.
- 13. Platform as a Service provides computing platforms which typically includes operating system, programming language execution environment, database, web server etc. Examples: AWS Elastic Beanstalk, Windows Azure, Force.com, Force.com, Google App Engine, Apache Stratos.
- 14. Characteristics PaaS offers browser based development environment. It allows the developer to create database and edit the application code either via Application Programming Interface or point-and-click tools. PaaS provides built-in security, scalability, and web service interfaces. It is easy to integrate with other applications on the same platform. PaaS also provides web services interfaces that allow us to connect the applications outside the platform.
- 15. SOFTWARE AS A SERVICE provides with access to application software often referred to as "on- demand software". You don't have to worry about the installation, setup and running of the application. Service provider will do that for you. You just have to pay and use it through some client. Examples: Google Apps, Microsoft Office 365.
- 16. CHARACTERISTICS SaaS makes the software available over the Internet. The Software are maintained by the vendor rather than where they are running. The license to the software may be subscription based or usage based. And it is billed on recurring basis. They can be scaled up or down on demand. They are automatically upgraded and updated.
- 17. Characteristics OF CLOUD COMPUTING ON DEMAND SELF-SERVICE : Cloud Computing allows the users to use web services and resources on demand. One can logon to a website at any time and use them. BROAD NETWORK ACCESS : Since Cloud Computing is completely web based, it can be accessed from anywhere and at any time. RESOURCE POOLING : Cloud Computing allows multiple tenants to share a pool of resources. One can share single physical instance of hardware, database and basic infrastructure.
- 18. RAPID ELASTICITY : It is very easy to scale up or down the resources at any time. Resources used by the customers or currently assigned to customers are automatically monitored and resources. It make it possible MEASURED SERVICE : Service Models & Deployment Models .
- 19. CLOUD COMPUTING-TECHNOLOGIES There are certain technologies that are working behind the cloud computing platforms making cloud computing flexible, reliable, usable. These technologies are listed below: Virtualization Service-Oriented Architecture (SOA) Grid Computing Utility Computing
- 20. VIRTUALIZATION Virtualization is a technique, which allows to share single physical instance of an application or resource among multiple organizations or tenants (customers).
- 21. Service-Oriented Architecture Service-Oriented Architecture helps to use applications as a service for other applications regardless the type of vendor, product or technology. Therefore, it is possible to exchange of data between applications of different vendors without additional programming or making changes to services.
- 22. GRID COMPUTING Grid computing refers to distributed computing in which a group of computers from multiple locations are connected with each to achieve common objective. These computer resources are heterogeneous and geographically dispersed. Grid computing breaks complex task into smaller pieces. These smaller pieces are distributed to cup's that reside within the grid.
- 23. Utility Computing Utility computing is based on Pay per Use model. It offers computational resources on demand as a metered service. Cloud computing, grid computing, and managed IT services are based on the concept of Utility computing.
- 24. ADVANTAGES Lower computer costs. Improved performance. Reduced software costs. Instant software updates. Unlimited storage capacity.
- 25. Disadvantages Requires a constant Internet connection. Does not work well with low-speed connections. Features might be limited. Can be slow. Stored data might not be secure.