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Introduction to cloud computing

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Vijay Kalangi
Vijay Kalangi
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Introduction to Cloud Computing Vijay Kalangi
What is Cloud Computing ? • Computing as a service. • Virtualization • Think of electric grids
• Virtualized and Shared resources • Computation • Software • Storage • Network
• Flexible • No large investments and protracted procurement • Provision new services by signing up. • Deploy 1,10 - 1000 servers!
• 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.,)
• 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
• Amazon web services
• Elastic Compute Cloud • Resizable compute capacity • Elastic load balancing • Auto scaling • CloudWatch
• Amazon Simple Storage Service • Store and retrieve any amount of data • Scalable, reliable, fast and inexpensive
• Amazon CloudFront • Content delivery • low latency and high data transfer speeds • Works with S3
• Amazon CloudFront • Content delivery • low latency and high data transfer speeds • Works with S3
• Amazon Route 53 • Scalable DNS service • Low latency • Queries are automatically routed to the nearest server
• Amazon Relational Database Service • MySQL and Oracle • Auto backup
• Amazon SimpleDB • Core database functions of data indexing and querying • No time and effort to set up this web- scale database.
• 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
• Amazon Simple Notification Service (SNS) • Publish messages and serve them to subscribers in realtime • Push Mechanism
• Amazon Elastic MapReduce • Process vast amounts of data • Hadoop Framework running on web- scale infrastructure (EC2 and S3)
MapReduce Text Text • Hadoop Framework running on web- scale infrastructure (EC2 and S3)

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Introduction to cloud computing

  • 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)

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