The document discusses cloud storage and compute estimates for hosting Bayesian DX's web application and sample data. It provides graphs showing the relationship between storage costs, disk space needs, and number of samples. Amazon EC2 cloud servers with EBS volumes are recommended as they allow scalable infrastructure with no physical maintenance costs and ease of adding additional resources.

1. Cloud Storage Estimates
Bayesian DX
3/1/13

2. Disk Space (GB) vs. # Samples
1200
1000
800
Disk Space (GB)
600
400
200
0
1000 2000 3000 4000 5000 6000 7000 8000 9000 10000 11000 12000 13000 14000 15000 16000 17000 18000
# Samples
Disk Space (GB)

3. Samples Saved vs. Storage Cost
1800
1600
1400
1200
Cost (USD)
1000
800
600
400
200
0
Number of Samples Saved
EBS S3 SSD* HDD*

4. Samples Saved vs. Storage Cost
1200
1000
800
Cost (USD)
600
400
200
0
5000 10000 15000 20000
Number of Samples Saved
EBS S3 SSD* HDD*

5. Storage Summary
• EBS Volumes are virtual drives that live in the cloud and are always
accessible.
• They are mounted as local drives by the cloud instances that will host the Bayesian
DX web application.
• These drives will require no physical maintenance.
• Volumes can be added or removed on the fly through a virtual web dashboard.
• Additional applications can utilize the same EBS volumes and/or new ones can be
provisioned quickly.
• SSDs and HDDs will need to be coupled with a physical server to be
purchased and hosted by Bayesian DX.
• The server hardware will have a larger cost up front.
• Servers will require IT maintenance from Bayesian personnel.
• The cost of on demand IT resources are not accounted for in this report.
• Provisioning additional instances would require the purchase of new servers.
• Provisioning additional hard disk space would require the purchase, installation, and
setup of additional hard drives.

6. Cloud Compute Estimates

7. Number of App Instances vs Cost
900
800
700
600
Monthly Cost (USD)
500
400
300
200
100
0
1 2 3 4 5
Number of Instances
On Demand Windows (Full Utilization) Reserved Windows (Full Utilization)

8. Reserved vs. On Demand
• Reserved instances must be
purchased on a yearly basis but
have a lower cost per month
• On Demand instances can be
discarded at any time but have a
higher cost per month
• StackWave can provide a
reserved instance and maintain
it for a fixed point value per
month
• Bayesian can choose to register
their own On Demand or
Reserved instance, but must
administer it internally.

9. Hardware Purchase
Estimates

10. Example Server Specification
• Dell PowerEdge T620
(http://www.dell.com/us/business/p/poweredge-tower-servers)
• Intel® Xeon® E5-2620 2.00GHz, 15M
Cache, 7.2GT/s QPI, Turbo, 6C
• Windows Server 2008
• 8GB Ram
• 500 GB HD
Total one time cost: $2,153.59*
*Unknown recurring IT maintenance cost

11. Summary

12. Suggested Infrastructure
• Amazon EC2 Cloud Server
• A single reserved Windows instance that is able to efficiently host the Bayesian
DX web application.
• An EBS volume of 180GB for sample storage (approximate 2,500 DESI samples).
• Advantages
• Updates can be easily pushed automatically from our build system to keep the
web application up to date.
• IT personnel not required for upkeep and hardware enhancements.
• Scalable system; pay for additional resources only as they are needed.