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Intro cloud-1

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  • 1. Introduction to Cloud ComputingProf. Shie-Jue LeeDept. of Electrical EngineeringNational Sun Yat-sen University
  • 2. Cloud Computing“It’s one of the foundations of the next generation of computing. . .. It’s a world where the network is the platform for all computing, where everything we think of as a computer today is just a device that connects to the big computer we’re building. Cloud computing is a great way to think about how we’ll deliver computing services in the future.” —Tim O’Reilly, CEO, O’Reilly Media
  • 3. High-Level Look In many ways, cloud computing is simply a metaphor for the Internet, the increasing movement of compute and data resources onto the Web.
  • 4. High-Level Look But there’s a difference: Higher efficiency massive scalability faster, easier software development It’s about new programming models, new IT infrastructure, and the enabling of new business models.
  • 5. Why Cloud Computing IT Efficiency + Economy Delivering resources on demand Reduce capital expenditures Cut the cost of running a datacenter Eliminate overprovisioning
  • 6. Why Cloud Computing Faster, More Flexible Programming Accelerated cycles Increase agility
  • 7. Harnessing Cloud Computing Use the Cloud Leverage the Cloud Development and testing Functional offloading Augmentation Experimenting Build the Cloud Be the Cloud
  • 8. Cloud Types Public clouds: Run by third parties, and jobs from many different customers may be mixed together on the servers, storage systems, and other infrastructure within the cloud. End users don’t know who else’s job may be me running on the same server, network, or disk as their own jobs.
  • 9. Cloud Types Private clouds: Are a good option for companies dealing with data protection and service-level issues. Private clouds are on-demand infrastructure owned by a single customer who controls which applications run, and where. They own the server, network, and disk and can decide which users are allowed to use the infrastructure.
  • 10. Cloud Types Hybrid clouds: Combine the public and private cloud models. You own parts and share other parts, though in a controlled way. Hybrid clouds offer the promise of on-demand, externally provisioned scale, but add the complexity of determining how to distribute applications across these different environments.
  • 11. Enabling Technologies Horizontally scaled, distributed compute nodes Sophisticated file systems Superscale cloud architectures New techniques of data-intensive computing Machine images can be instantly deployed
  • 12. Cornerstone TechnologyVirtualization — the abstraction of computer resources — is the cornerstone technology for all cloud architectures. With the ability to virtualize servers (behind a hypervisor- abstracted operating system), storage devices, desktops, and applications, a wide array of IT resources can now be allocated on demand
  • 13. Old Computers Application Operating System Hardware
  • 14. By Virtualization Application Operating System Hypervisor Hardware
  • 15. Virtualization -- a Server for MultipleApplications/OS Application Application Application Application Application Application Operating Operating System Operating Operating Operating System System System Operating System System Hypervisor Hardware Hardware
  • 16. Service Layers Software as a Service (SaaS) Features a complete application offered as a service, ondemand, via multitenancy meaning a single instance of the software runs on the provider’s infrastructure and serves multiple client organizations.
  • 17. Service Layers Platform as a Service (PaaS) Is the encapsulation of a development environment abstraction and the packaging of a payload of services. PaaS offerings can provide for every phase of software development and testing.
  • 18. Service Layers Infrastructure as a Service (IaaS) Is a means of delivering basic storage and compute capabilities as standardized services over the network. Servers, storage systems, switches, routers, and other systems are pooled (through virtualization technology, for example) to handle specific types of workloads.
  • 19. Inside the Cloud Virtualization Higher utilization rates Resource consolidation Lower power usage/costs Space savings Disaster recovery/business continuity Reduced operations costs
  • 20. Inside the Cloud Virtualization Operating System Virtualization Platform Virtualization Network Virtualization Application Virtualization
  • 21. Inside the Cloud Software Deployment Software Packaging Machine Images

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