Difference between revisions of "Amazon AWS Presentation Outline"
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** all accessible from Web GUI and 3rd Party | ** all accessible from Web GUI and 3rd Party | ||
<center>[[Image:AWS_AllAmazonServices.png|600px]]</center> | <center>[[Image:AWS_AllAmazonServices.png|600px]]</center> | ||
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| + | * EC2 | ||
| + | ** "Amazon EC2 reduces the time required to obtain and boot new server instances to minutes, allowing you to quickly scale capacity, both up and down, as your computing requirements change. " | ||
| + | ** Start up the server you need | ||
| + | ** Pick the # of cores, the RAM, and the disk storage | ||
| + | ** Pick the OS | ||
| + | ** Elastic IP addresses | ||
| + | ** several architectures: The unit used is 1 ECU = 1.0-1.2 GHz 2007 Opteron or 2007 Xeon processor. | ||
| + | *** Small Instance: 1 32-bit ECU, 1.7 GB Ram, 160GB disk (32-bit instance) | ||
| + | *** Large Instance: 4 64-bit ECU, 7.5 GB Ram, 850 GB disk | ||
| + | *** Extra-Large Instance: 8 64-bit ECU, 15 GB Ram, 1.7 TB disk | ||
| + | *** High-Memory Extra-Large Instance, 6.5 ECU, 17.1 GB Ram, 420 GB disk | ||
| + | *** High-Memory Double Extra-Large Instance, 13 ECU, 34.2 GB Ram, 850 GB disk | ||
| + | *** High-Memory Quadruple Extra-Large Instance, 26 ECU, 68.4 GB Ram, 1.6 TB disk | ||
| + | *** High-CPU medium Instance, 5 ECU, 1.7 GB Ram, 350 GB disk (32-bit instance) | ||
| + | *** High-CPU Extra Large Instance, 20 ECU, 7 GB Ram, 1.6 TB Disk. | ||
| + | |||
| + | * S3 | ||
| + | ** Write, read, and delete objects containing from 1 byte to 5 gigabytes of data each. The number of objects you can store is unlimited. | ||
| + | ** Objects are redundantly stored on multiple devices across multiple facilities in an Amazon S3 Region. | ||
| + | ** Simplified pricing: $0.15 per GB/month, stored or downloaded. | ||
| + | |||
| + | * Elastic MapReduce | ||
| + | ** Hadoop on top of EC2 and S3 | ||
| + | ** Store data in S3 | ||
| + | ** Start ''Job Flow'' of some number of instances in Elastic Map Reduce | ||
| + | ** Logs available | ||
| + | ** EC2 instances shut down automatically once ''Job Flow'' is over. | ||
| + | ** Supports ''Karmasphere Studio for Hadoop'' IDE | ||
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| + | <br /> | ||
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| + | [[Category:CSC352]][[Category:Amazon AWS]] | ||
Latest revision as of 22:15, 19 April 2010
- Cloud Services
- Amazon: Amazon Web Services (Hadoop, Linux)
- Google: AppEngine (Python + Java)
- Microsoft: Azure (Visual Studio, .Net, VB, C#)
- many more (http://groups.google.com/group/cloud-computing/web/list-of-cloud-platforms-providers-and-enablers?pli=1)
- Why Amazon AWS
- easier for Universities
- supports hadoop
- offers Linux VM
- storage + computing = utility: pay as you go
- Amazon's customers
(from http://techcrunch.com/2008/04/21/who-are-the-biggest-users-of-amazon-web-services-its-not-startups/ )
- Some startups
- Web services based on hosting large collections of photos
- banks departments
- large pharmaceutical companies
- large companies
- Amazon's services
- Elastic Compute Cloud (EC2)
- Simple Scalable Storage (S3)
- Elastic MapReduce (Hadoop)
- all accessible from Web GUI and 3rd Party
- EC2
- "Amazon EC2 reduces the time required to obtain and boot new server instances to minutes, allowing you to quickly scale capacity, both up and down, as your computing requirements change. "
- Start up the server you need
- Pick the # of cores, the RAM, and the disk storage
- Pick the OS
- Elastic IP addresses
- several architectures: The unit used is 1 ECU = 1.0-1.2 GHz 2007 Opteron or 2007 Xeon processor.
- Small Instance: 1 32-bit ECU, 1.7 GB Ram, 160GB disk (32-bit instance)
- Large Instance: 4 64-bit ECU, 7.5 GB Ram, 850 GB disk
- Extra-Large Instance: 8 64-bit ECU, 15 GB Ram, 1.7 TB disk
- High-Memory Extra-Large Instance, 6.5 ECU, 17.1 GB Ram, 420 GB disk
- High-Memory Double Extra-Large Instance, 13 ECU, 34.2 GB Ram, 850 GB disk
- High-Memory Quadruple Extra-Large Instance, 26 ECU, 68.4 GB Ram, 1.6 TB disk
- High-CPU medium Instance, 5 ECU, 1.7 GB Ram, 350 GB disk (32-bit instance)
- High-CPU Extra Large Instance, 20 ECU, 7 GB Ram, 1.6 TB Disk.
- S3
- Write, read, and delete objects containing from 1 byte to 5 gigabytes of data each. The number of objects you can store is unlimited.
- Objects are redundantly stored on multiple devices across multiple facilities in an Amazon S3 Region.
- Simplified pricing: $0.15 per GB/month, stored or downloaded.
- Elastic MapReduce
- Hadoop on top of EC2 and S3
- Store data in S3
- Start Job Flow of some number of instances in Elastic Map Reduce
- Logs available
- EC2 instances shut down automatically once Job Flow is over.
- Supports Karmasphere Studio for Hadoop IDE
