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CloudERT Pilot
Objectives
• Cancer is Europe’s second largest killer• is a suite of remote tools to help medical physicists in the
definition of treatment plans and their verification using MC• This experiment focuses on the feasibility of using Cloud for such
services, using treatment verification as an example.– CloudERT must produce results ASAP by exploiting the Cloud resources.– Transferring the computing to Cloud
• User Community– Medical physicists– 65 users from 47 hospitals
Software Design
• Steps 2 and 4 in parallel• Programmed used COMPSs and GW
COMPSs programming model
Software Design
• GW Programming mode
App-specificApp-specificClients to Standard VENUS-C
Clients to Standard VENUS-C
ExternalExternal
eIM
RTeI
MRT
Dat
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Clie
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ata
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sfer
Cl
ient
Client
Job
Subm
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on
Clie
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b Su
bmis
sion
Cl
ient Cloud
Storage
Data Access Service
Data Access Service
Application Repository
Application Repository
Alignment worker
Alignment workerAlignment
workerAlignment
workerAlignment worker
Alignment worker
BEAMnrcBEAMnrc
CloudClo
udLocal Drive
wra
pper
wra
pper
wra
pper
wra
ppe
r
Execution Service
Execution Service
Tver 1Tver 1wra
pper
Tver 3Tver 3Local Drive
wra
pper
Tver 2Tver 2
wra
ppe
r
Alignment worker
Alignment workerAlignment
workerAlignment
workerAlignment worker
Alignment worker
DOSXYZnrcDOSXYZnrc
CloudDri
CloudDri
CloudDri
Local Drive
wra
ppe
rw
rapp
erw
rapp
erw
rapp
erVENUS-C Standard
component
VENUS-C Standard
component
Benefits of using Venus-C
• Computing power -> Cloud• Reducing the entry cost. Business opportunity.• Scales well with the problem size, reducing the time
to solve a single case.• The capability of choosing the number of resources
used and change them dynamically.
Lessons Learnt
• The GW & COMPSs frameworks fit well the execution model of eIMRT.
• A better logging and error management is needed.• Work in easing the deployment of the service side is
still needed, maybe by providing preconfigured images.
Example Case
• A radiotherapist wants to verify a radiation therapy treatment. • He select the desired input files for the treatment• Finally he obtains the calculated dose• Synthetic case based on Carpet or Quasimodo
– single segment treatment– 300.000 BEAMnrc histories – 3.000.000 DOSXYZnrc histories. – 60.000 histories per task
• Input FilesFile Description SizeCesga.tar.gz Java application plus Linux scripts 17.8kBVenus-c-filesystem.gz Tar file with executables, libraries and other Monte Carlo data. 18.2 MBMapData.raw Patient’s CT in internal format 60.3MBRtplan.xml RTplan in XML format 20.6kBTomograph.ramp Data to convert CT from Hounsfield units to densities 337 BUseracc.config File with user’s specific parameters for the used LINAC 55B
Restults
Phase COMPSs MS AzureTver1 15 15BEAMnrc (average) 795 445Tver2 38 21DOSXYZnrc (average) 533 316Tver3 24 17
Execution timesSample Calculated dose
Real case execution (100 tasks)
Conclusions
• VENUS-C CloudERT is a client application consuming an eIMRT processing service deployed in the cloud.
• It uses a coarse-grain data-flow programming model successfully exposed by both GW and COMPSs. CDMI was tested
• The feasibility of using this framework in Monte Carlo radiotherapy simulations has been proved with a synthetic treatment verification
• Proof-of-concept of using on-demand remote computing capacity to bring innovative services to hospitals with radiotherapy facilities through Internet
Future Plans
• Integrate the cloud execution within the eIMRT platform, both GW based and COMPSs
• Use the Accounting module in order to analyse the business model
• Execute the treatment optimization in the Cloud
Additional information
• References– J. Pena, D. M. González-Castaño, F. Gómez, A. Gago-Arias, F. J.
González-Castaño, D. Rodríguez-Silva, A. Gómez, C. Mouriño, M. Pombar, and M. Sánchez. eIMRT: a web platform for the verification and optimisation of radiation treatment plans. In Journal of Applied Clinical Medical Physics , volume 10, 2009.
– A. Gómez, J.C. Mouriño, L.M. Carril, Z. Martín, D. Lezzi, R. Rafanell, and R.M Badía. Execution of Monte Carlo Treatment Verification on Cloud using COMPSs Platform. Proceedings of the 3rd European Workshop on Monte Carlo Treatment Planning (MCTP’12). pp. 186-189, 2012.
• URL for the eIMRT project– http://eimrt.cesga.es
Contact
Carlos MouriñoCentro de Supercomputación de GaliciaAv. De Vigo s/n (Campus Vida),Santiago de Compostela 15705 A Coruña, SpainTel: +34-981569810Fax. +34-981594616E-mail: [email protected]
