astronomy in the cloud · email : [email protected] phone : 00353 1 961 1719 september 16, 2015...
TRANSCRIPT
Heidelberg Institute forTheoretical Studies
September 16, 2015 AG2015 | eScience & Virtual Observatory | Astronomy in the Cloud | Kai Lars Polsterer 1/54
Astronomy in the Cloudusing cloud infrastructure to cooperate, scale, and democratise e-science
September 16, 2015 AG2015 | eScience & Virtual Observatory | Astronomy in the Cloud | Kai Lars Polsterer 2/54
Crowd-sourcing / Citizen Science
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Crowd-sourcing / Citizen Science
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Crowd-sourcing / Citizen Science
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Crowd-sourcing / Citizen Science
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→ Banfield, et. al. 2015
and
in the order of objects
Radio Galaxy Zoo
September 16, 2015 AG2015 | eScience & Virtual Observatory | Astronomy in the Cloud | Kai Lars Polsterer 7/54
→ Banfield, et. al. 2015
and
in the order of objects
Radio Galaxy Zoo
September 16, 2015 AG2015 | eScience & Virtual Observatory | Astronomy in the Cloud | Kai Lars Polsterer 8/54
Starting the Project
50 tar files220 GB
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Preprocessing
matrix from fits
flux relative to the maximum
interesting region
fits
x
I
x
I
0
1
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Speeding up Preprocessing
single core python = hours
with
on cores = hours
file is still the bottleneck!
September 16, 2015 AG2015 | eScience & Virtual Observatory | Astronomy in the Cloud | Kai Lars Polsterer 11/54
New Images Extracted
50 tar files220 GB
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Similarity Measure
calculate the pixel based
for all possible
and find the best matching angle via
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Results
Polsterer et al. 2014
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Results
Polsterer et al. 2014
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Results and Analysis
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Processing
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Interesting Objects
select
based on distribution of distances
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The Downsides of this Approach
a lot of local copies
no orchestration of work-flow
bad exchange of intermediate results
very exclusive concerninghardware requirements
fits
NVIDIA Tesla K40
September 16, 2015 AG2015 | eScience & Virtual Observatory | Astronomy in the Cloud | Kai Lars Polsterer 19/54
A new Project
idefield ou lier inder (Ray Norris)
ASKAP-EMU project
from known radio sources
develop methodology to discover
science in large data sets
September 16, 2015 AG2015 | eScience & Virtual Observatory | Astronomy in the Cloud | Kai Lars Polsterer 20/54
A new Concept
use commercial cloud computing providerwith data-center in Sydney
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The Concept
centralized storage and compute
embedded repository and project management tool
script all preprocessing andprovide orchestration
VIS Script
orchestration layer
September 16, 2015 AG2015 | eScience & Virtual Observatory | Astronomy in the Cloud | Kai Lars Polsterer 22/54
Why use a Company?
international project:● who is providing resources?
● who has the infrastructure?
● who provides the services?
why not run our own science cloud?● using open stack
September 16, 2015 AG2015 | eScience & Virtual Observatory | Astronomy in the Cloud | Kai Lars Polsterer 23/54
Why use a Company?
international project:● who is providing resources?
● who has the infrastructure?
● who provides the services?
why not run our own science cloud?● using open stack
who does currently
provide this
for astronomy?
September 16, 2015 AG2015 | eScience & Virtual Observatory | Astronomy in the Cloud | Kai Lars Polsterer 24/54
There a many Cloud Provider
September 16, 2015 AG2015 | eScience & Virtual Observatory | Astronomy in the Cloud | Kai Lars Polsterer 25/54
Use Amazon Web Services
provides the larges variety of services and the best infrastructure
SKA grant from
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What is really new?
scaling and immediately
no longer depending on
hardware requirements
no between small university institutes and
large research centers
data via credits
open to all
DOWNDOWNUPUP
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Basics
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Basics
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Basics
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Basics
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Simple/Scalable Storage Service (S3)
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Simple/Scalable Storage Service (S3)
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Simple/Scalable Storage Service (S3)
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Simple/Scalable Storage Service (S3)
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Simple/Scalable Storage Service (S3)
aws sync RadioGalaxyZoo s3://radiogalaxyzoo
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Simple/Scalable Storage Service (S3)
aws sync RadioGalaxyZoo s3://radiogalaxyzoo
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Simple/Scalable Storage Service (S3)
aws sync RadioGalaxyZoo s3://radiogalaxyzoo
www.slideshare.net/AmazonWebServices/amazon-s3-masterclass
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Elastic Cloud Computing (EC2)
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Elastic Cloud Computing (EC2)
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Elastic Cloud Computing (EC2)
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Elastic Cloud Computing (EC2)
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Elastic Cloud Computing (EC2)
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Elastic Cloud Computing (EC2)
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Elastic Cloud Computing (EC2)
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Elastic Cloud Computing (EC2)
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Elastic Cloud Computing (EC2)
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Elastic Cloud Computing (EC2)
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Elastic Cloud Computing (EC2)
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Elastic Cloud Computing (EC2)
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Elastic Cloud Computing (EC2)
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Elastic Cloud Computing (EC2)
www.slideshare.net/AmazonWebServices/amazon-ec2-masterclass
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Voucher
Thanks to
we hand out 50$ voucher
need assistance?Peter MeagherEMEA Account ManagerEMEA Public SectorEmail : [email protected] : 00353 1 961 1719
September 16, 2015 AG2015 | eScience & Virtual Observatory | Astronomy in the Cloud | Kai Lars Polsterer 53/54
Conclusion
thanks to
we know how to access data
we still need to learn how to
and
data
September 16, 2015 AG2015 | eScience & Virtual Observatory | Astronomy in the Cloud | Kai Lars Polsterer 54/54@AstroInformatix