Cloud Computing

Transcript

1. Cloud Computing
2. What is cloud computing? Desktop Application
3. Cloud Service Model IaaS Infrastructure as a Service PaaS Platform as a Service SaaS Software as a Service
4. Cloud Service Layers Services Application Development Platform Storage Hosting Description Services – Complete business services such as PayPal, OpenID, OAuth, Google Maps, Alexa Services Application Focused Infrastructure Focused Application – Cloud based software that eliminates the need for local installation such as Google Apps, Microsoft Online Storage – Data storage or cloud based NAS such as CTERA, iDisk, CloudNAS Development – Software development platforms used to build custom cloud based applications (PAAS & SAAS) such as SalesForce Platform – Cloud based platforms, typically provided using virtualization, such as Amazon ECC, Sun Grid Hosting – Physical data centers such as those run by IBM, HP, NaviSite, etc.
5. Parallelization “Work” w1 w2 w3 r1 r2 r3 “Result” “worker” “worker” “worker” Partition Combine Divide and Conquer
6. Parallelization slaves master Master/Slaves
7. Parallelization Producer/Consumer C P P P C C C P P P C C
8. Parallelization Work Queues C P P P C C shared queue W W W W W
9. Virtualization Hardware Operating System App App App Traditional Stack Hardware OS App App App Hypervisor OS OS Virtualized Stack
10.  No need to concern about infrastructure  Easy to scale  Data can be access from anywhere  Pay as you go  Less expensive local computer  Instant software update  Document format compatibility Advantage
11.  Unlimited storage capacity  Increased data reliability  Device independence Advantage
12.  Depends on third party service  Security  Require constant Internet connection  Can be slow  Learning different protocols and API Concerns