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AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
madduri@anl.gov
Science as a Service on
AWS
Ravi K Madduri
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
Outline
• CI Mission and Introduction of Science as a
Service
• Motivation
– Why is this important?
• Separation of concerns – Going far together
• Examples of Science as a Service
• Focus on Globus Genomics as a Success story
– Announcing Globus Genomics AWS Test Drive
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
Our Vision for a 21st Century
Discovery Infrastructure
Provide more capability for people at
lower cost by delivering
Science as a service
www.globus.org
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
Two Broader Themes
• Productivity of Researchers
– Time spent performing administrative tasks Vs
time spent doing science
– Reproducibility
• Sustainability of scientific software
– Reduction in funding for science
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
Time-consuming tasks in
science
• Run experiments
• Collect data
• Manage data
• Move data
• Acquire computers
• Analyze data
• Run simulations
• Compare experiment
with simulation
• Search the literature
• Communicate with
colleagues
• Publish papers
• Find, configure, install
relevant software
• Find, access, analyze
relevant data
• Order supplies
• Write proposals
• Write reports
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
42%
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
Presenting
21st Century Discovery Infrastructure
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
Going Far Together
Separation of Concerns
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
Our Science Stack
• Galaxy
– Interactive execution
– Creation, Execution,
Sharing, Discovering
Workflows
• Globus
– Data management
– Identity Management
• AWS
– EC2, EBS, S3, SNS, Spot,
Route 53, Cloud Formation
SaaS
PaaS
IaaS
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
Time-consuming tasks in
science
• Communicate with
colleagues
• Publish papers
• Find, configure, install
relevant software
• Find, access, analyze
relevant data
• Order supplies
• Write proposals
• Write reports
• Run experiments
• Collect data
• Manage data
• Move data
• Acquire computers
• Analyze data
• Run simulations
• Compare experiment
with simulation
• Search the literature
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
Data
Source
Data
Destinatio
n
User initiates
transfer request1
Globus moves
and syncs files2
Globus
notifies user3
Globus: Fast, reliable data
transfer
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
Amazon S3 Endpoints
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
Data
Source
User A selects
file(s) to share,
selects user or
group, and sets
permissions
1
Globus tracks shared
files; no need to
move files to cloud
storage!
2
User B logs into
Globus and
accesses
shared file
3
Globus: Sharing off existing
systems
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
Globus: Federated identity
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
>25,000 registered users; >150 daily
50 PB moved; >1B files
10x (or better) performance vs. scp
99.9% availability
Entirely hosted on Amazon
Globus Transfer
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
Metadata
Access Control
License
Storage
Curation
Workflow
Policies
Collection
Globus: Data publication
service
Metadata
DataMetadata
Data
Metadata
Data
Dataset
Dataset
Dataset
Community
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
Time-consuming tasks in
science
• Run experiments
• Collect data
• Manage data
• Move data
• Acquire computers
• Analyze data
• Run simulations
• Compare experiment
with simulation
• Search the literature
• Communicate with
colleagues
• Publish papers
• Find, configure, install
relevant software
• Find, access, analyze
relevant data
• Order supplies
• Write proposals
• Write reports
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
Globus Science Stack in
Action
Sequencing
Centers
Sequencing
Centers
Public
Data
Storage
Local Cluster/
CloudSeq
Center
Research Lab
Globus Provides a
• High-performance
• Fault-tolerant
• Secure
file transfer Service between
all data-endpoints
Data Management Data Analysis
Picard
GATK
Fastq Ref Genome
Alignment
Variant
Calling
Galaxy
Data Libraries
Globus Genomics on
Amazon EC2
• Analytical tools are
automatically run
on the scalable
compute resources
when possible
• Globus Integrated wit
Galaxy
• Web-based UI
• Drag-Drop workflow
creations
• Easily modify Workflo
with new tools
Galaxy Based Workflow
Management SystemGlobus SaaS
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
Flexible, scalable,
affordable
genomics analysis
for all biologists
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
Globus Genomics
• Analysis tools profiled for
optimal performance
• Workload management for
parallel execution
• Resources provisioned on
demand
• High performance, reliable
data movement
• Seamless access using
institution’s credentials
• Best practice + extensible,
customizable pipelines
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
Globus Climate
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
Globus Materials
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
Cardio Vascular Research
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
Proton Cancer Treatment
No.
Histo
ries
Execu
tion
Time
(s)
No.
Per
Hou
r
On-
demand
Cost
($2.10)
Spot
Cost
($0.50)
1.5B 570 6 $35 $9
1B 445 8 $27 $7
0.5B 283 12 $18 $5
0.25
B
170 21 $10 $2
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
Usage has been promising
0
2000
4000
6000
8000
10000
12000
0
200000
400000
600000
800000
1000000
1200000
January February March April May June
Cost($)
InstanceHours
Date
Instance Hours Cost
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
Exome: 3 – 12hrs  ~1hr
Whole Genome: ~22hrs 
~10hrs
RNA-Seq: 1 – 12hrs  ~minutes
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
Diversity of collaborations
Dobyns
Lab
Cox Lab
Volchenboum Lab
Olopade Lab
Nagarajan Lab
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
Common misconceptions
• Cloud is expensive
• Cloud is insecure
• It takes a long time to move data and its hard
• Cloud is about VMs and we got VMs
• My codes won’t run on the cloud
• Cloud is not HPC-enough
• Amazon will be acquired or will file for
bankruptcy – What happens to my data?
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
Possible Solutions
• Outreach
• Case studies with TCO for various
domains and problem types
• Compliance
• Transparency in Billing
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
Our Vision for a 21st Century
Discovery Infrastructure
To make advanced
computational capabilities
available to all researchers at
substantially lower cost
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
We’re “all in” on cloud
Identify time-consuming activities
amenable to automation, outsourcing
and deliver as high-quality, low-touch
SaaS
Extract common elements as a research
data management automation PaaS
Leverage IaaS for reliability, economies
of scale
AWS Government, Education, and Nonprofits Symposium
Washington, DC | June 24, 2014 - June 26, 2014
Thank you to our
sponsors!

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AWS Public Sector Summit 2014 Talk - Science as a Service using AWS

  • 1. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 madduri@anl.gov Science as a Service on AWS Ravi K Madduri
  • 2. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014
  • 3. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 Outline • CI Mission and Introduction of Science as a Service • Motivation – Why is this important? • Separation of concerns – Going far together • Examples of Science as a Service • Focus on Globus Genomics as a Success story – Announcing Globus Genomics AWS Test Drive
  • 4. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 Our Vision for a 21st Century Discovery Infrastructure Provide more capability for people at lower cost by delivering Science as a service www.globus.org
  • 5. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 Two Broader Themes • Productivity of Researchers – Time spent performing administrative tasks Vs time spent doing science – Reproducibility • Sustainability of scientific software – Reduction in funding for science
  • 6. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 Time-consuming tasks in science • Run experiments • Collect data • Manage data • Move data • Acquire computers • Analyze data • Run simulations • Compare experiment with simulation • Search the literature • Communicate with colleagues • Publish papers • Find, configure, install relevant software • Find, access, analyze relevant data • Order supplies • Write proposals • Write reports
  • 7. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014
  • 8. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014
  • 9. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 42%
  • 10. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 Presenting 21st Century Discovery Infrastructure
  • 11. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 Going Far Together Separation of Concerns
  • 12. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 Our Science Stack • Galaxy – Interactive execution – Creation, Execution, Sharing, Discovering Workflows • Globus – Data management – Identity Management • AWS – EC2, EBS, S3, SNS, Spot, Route 53, Cloud Formation SaaS PaaS IaaS
  • 13. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 Time-consuming tasks in science • Communicate with colleagues • Publish papers • Find, configure, install relevant software • Find, access, analyze relevant data • Order supplies • Write proposals • Write reports • Run experiments • Collect data • Manage data • Move data • Acquire computers • Analyze data • Run simulations • Compare experiment with simulation • Search the literature
  • 14. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 Data Source Data Destinatio n User initiates transfer request1 Globus moves and syncs files2 Globus notifies user3 Globus: Fast, reliable data transfer
  • 15. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 Amazon S3 Endpoints
  • 16. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 Data Source User A selects file(s) to share, selects user or group, and sets permissions 1 Globus tracks shared files; no need to move files to cloud storage! 2 User B logs into Globus and accesses shared file 3 Globus: Sharing off existing systems
  • 17. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 Globus: Federated identity
  • 18. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 >25,000 registered users; >150 daily 50 PB moved; >1B files 10x (or better) performance vs. scp 99.9% availability Entirely hosted on Amazon Globus Transfer
  • 19. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 Metadata Access Control License Storage Curation Workflow Policies Collection Globus: Data publication service Metadata DataMetadata Data Metadata Data Dataset Dataset Dataset Community
  • 20. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 Time-consuming tasks in science • Run experiments • Collect data • Manage data • Move data • Acquire computers • Analyze data • Run simulations • Compare experiment with simulation • Search the literature • Communicate with colleagues • Publish papers • Find, configure, install relevant software • Find, access, analyze relevant data • Order supplies • Write proposals • Write reports
  • 21. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 Globus Science Stack in Action Sequencing Centers Sequencing Centers Public Data Storage Local Cluster/ CloudSeq Center Research Lab Globus Provides a • High-performance • Fault-tolerant • Secure file transfer Service between all data-endpoints Data Management Data Analysis Picard GATK Fastq Ref Genome Alignment Variant Calling Galaxy Data Libraries Globus Genomics on Amazon EC2 • Analytical tools are automatically run on the scalable compute resources when possible • Globus Integrated wit Galaxy • Web-based UI • Drag-Drop workflow creations • Easily modify Workflo with new tools Galaxy Based Workflow Management SystemGlobus SaaS
  • 22. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 Flexible, scalable, affordable genomics analysis for all biologists
  • 23. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 Globus Genomics • Analysis tools profiled for optimal performance • Workload management for parallel execution • Resources provisioned on demand • High performance, reliable data movement • Seamless access using institution’s credentials • Best practice + extensible, customizable pipelines
  • 24. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 Globus Climate
  • 25. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 Globus Materials
  • 26. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 Cardio Vascular Research
  • 27. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 Proton Cancer Treatment No. Histo ries Execu tion Time (s) No. Per Hou r On- demand Cost ($2.10) Spot Cost ($0.50) 1.5B 570 6 $35 $9 1B 445 8 $27 $7 0.5B 283 12 $18 $5 0.25 B 170 21 $10 $2
  • 28. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 Usage has been promising 0 2000 4000 6000 8000 10000 12000 0 200000 400000 600000 800000 1000000 1200000 January February March April May June Cost($) InstanceHours Date Instance Hours Cost
  • 29. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 Exome: 3 – 12hrs  ~1hr Whole Genome: ~22hrs  ~10hrs RNA-Seq: 1 – 12hrs  ~minutes
  • 30. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 Diversity of collaborations Dobyns Lab Cox Lab Volchenboum Lab Olopade Lab Nagarajan Lab
  • 31. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 Common misconceptions • Cloud is expensive • Cloud is insecure • It takes a long time to move data and its hard • Cloud is about VMs and we got VMs • My codes won’t run on the cloud • Cloud is not HPC-enough • Amazon will be acquired or will file for bankruptcy – What happens to my data?
  • 32. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 Possible Solutions • Outreach • Case studies with TCO for various domains and problem types • Compliance • Transparency in Billing
  • 33. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 Our Vision for a 21st Century Discovery Infrastructure To make advanced computational capabilities available to all researchers at substantially lower cost
  • 34. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 We’re “all in” on cloud Identify time-consuming activities amenable to automation, outsourcing and deliver as high-quality, low-touch SaaS Extract common elements as a research data management automation PaaS Leverage IaaS for reliability, economies of scale
  • 35. AWS Government, Education, and Nonprofits Symposium Washington, DC | June 24, 2014 - June 26, 2014 Thank you to our sponsors!

Notes de l'éditeur

  1. Carnegie Library – Represents how science was done
  2. Source: http://nexus.od.nih.gov/all/2013/09/24/one-nation-in-support-of-biomedical-research/
  3. About 5 years ago we started building a solution to this problem, Globus Reliable, secure, high-performance file transfer and synchronization Hosted service… “Fire-and-forget” transfers Automatic fault recovery Seamless security integration
  4. You retain full control of your storage system Local security mechanisms are respected Access limited by the policies you have set on the file system Your offload the burden of managing shared data to the users themselves Both in the case of moving and sharing data, we have do deal with the thorny issue of security
  5. In moving the data you’re typically crossing multiple security domains And when sharing, your collaborators are typically in different institutions with different identity providers Ideally the researcher wants to use a single username password, most likely their campus identity Some services such as InCommon provide the foundation for this at an institutional level But they don’t address how a researcher accesses resources at the institution How easy is it for one of your colleagues at another organization to just access your HPC cluster and run an analysis or pull down some of the data from your experiment
  6. Extending Globus to deliver publishing and discovery capabilities as a hosted service. Metadata is stored in the Cloud Published data is stored on campus, institutional, group resources that are managed and operated by external administrators To associate storage with a collection administrators must configure Globus Connect Server with sharing on their resources and then associate the endpoint with the collection through Globus. Published datasets are organized by “communities” and their member “collections” E.g., Argonne National Laboratory community has several member collections (APS, CNM, CELS) Often collections will map to a department or group within an institution, but they don’t have to. Globus users can create and manage their own communities and collections through the service A Collection enables the submission of datasets with policies regarding access A Dataset is data and metadata Policies can be set on communities or collections Metadata (schema, requirements) Access control (user and group based) Curation workflow Submission and distribution license Storage
  7. Our goal is to operationalize key capabilities so researchers can depend on them. Think of Gmail for science..
  8. We are on the verge of even more substantial improvements Optimizations: using Intel AVX extensions for certain tools e.g. seeing 720x speedup in GATK