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Introduction to cloud computing

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  • Transcript

    • 1. Introduction to Cloud Computing Vijay Kalangi
    • 2. What is Cloud Computing ?• Computing as a service.• Virtualization• Think of electric grids
    • 3. • Virtualized and Shared resources • Computation • Software • Storage • Network
    • 4. • Flexible • No large investments and protracted procurement • Provision new services by signing up. • Deploy 1,10 - 1000 servers!
    • 5. • Cost-Effective • On-Demand IT infrastructure • No upfront investment, long-term commitment or minimum spend. • No Cost of owning and operating the infrastructure. (power, cooling etc.,)
    • 6. • Scalable and Elastic • Scale up and scale down resources w/ API calls! • Variable consumption - Handle spikes with load balancers. Handle under utilization • Short life times - large-scale simulations
    • 7. • Amazon web services
    • 8. • Elastic Compute Cloud • Resizable compute capacity • Elastic load balancing • Auto scaling • CloudWatch
    • 9. • Amazon Simple Storage Service • Store and retrieve any amount of data • Scalable, reliable, fast and inexpensive
    • 10. • Amazon CloudFront • Content delivery • low latency and high data transfer speeds • Works with S3
    • 11. • Amazon CloudFront • Content delivery • low latency and high data transfer speeds • Works with S3
    • 12. • Amazon Route 53 • Scalable DNS service • Low latency • Queries are automatically routed to the nearest server
    • 13. • Amazon Relational Database Service • MySQL and Oracle • Auto backup
    • 14. • Amazon SimpleDB • Core database functions of data indexing and querying • No time and effort to set up this web- scale database.
    • 15. • Amazon Simple Queue Service (SQS) • Storing messages as they travel between computers • Move data between distributed components w/o losing messages or requiring each component to be always available
    • 16. • Amazon Simple Notification Service (SNS) • Publish messages and serve them to subscribers in realtime • Push Mechanism
    • 17. • Amazon Elastic MapReduce • Process vast amounts of data • Hadoop Framework running on web- scale infrastructure (EC2 and S3)
    • 18. MapReduce Text Text• Hadoop Framework running on web- scale infrastructure (EC2 and S3)