Cloud Patterns And Applications
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This document discusses cloud computing platforms and concepts. It introduces Apache CloudStack as an open-source infrastructure as a service platform that allows users to provision cloud resources on demand. It also discusses Amazon EC2 and S3 cloud services, intercloud networking, common design patterns like facades, adapters and proxies, and distributed computing architectures like MapReduce. The document provides an overview of cloud computing topics at a high level.
Cloud Patterns And Applications
- 1. Guided by, D M. Ujalambkar Department of Computer Engineering AISSMS COE, Pune Presented by, R U. Patil M.E. Computer Engineering AISSMS COE, Pune
- 2. Cloud Platform Apache cloudstack Intercloud Designing an architecture Clustering
- 3. Amazon EC2 : Amazon Web Services (AWS), by allowing users to rent virtual computers can create, launch, and terminate server-instances as needed
- 4. Amazon s3 : Online file storage web service provides storage through web services interfaces
- 5. Apache Cloudstack: Act is an opensource Iaas platform Setup an on demand elastic cloud computing service Allow endusers to provision resources
- 6. Region with multiple zones
- 7. Intercloud is an interconnected global "cloud of clouds" and an extension of the Internet "network of networks" each single cloud does not have infinite physical resources
- 8. Facade : Provide a unified interface to a set of interfaces in a subsystem
- 9. Adapters : Convert the interface of a class into another Interface clients expect
- 10. Proxies : Provide a placeholder for another object to control access to it.
- 11. n-tier web pattern : Three –Tier Architecture Presentation Tier Business logic Tier Data Tier
- 12. Three –Tier Architecture Fig. Three Tier Architecture
- 13. Semaphore : Synchronization object that controls access Widely used to control access Basic functionalities associated with semaphores are set, check and wait
- 14. Locking : Implemented using hardware instructions To support the implementation of storage
- 15. MapReduce P2P framework : To perform job state replication, manage master failures, and allow participation of intermittent nodes Using a P2P approach, extended the MapReduce architectural model
- 16. Three types of nodes 1. User 2. Master 3. Slave
- 18. Thank You