experience of introducing e-infrastructure for laser performance analysis
DESCRIPTION
Experience of introducing e-infrastructure for laser performance analysis. Lakshmi Sastry, Srikanth Nagella, Richard Henwood, Victoria Marshall and Brian Matthews. Introduction to CLF. Target Area. Users visiting CLF bring their own diagnostics. - PowerPoint PPT PresentationTRANSCRIPT
Experience of introducing e-infrastructure for laser
performance analysis
Lakshmi Sastry, Srikanth Nagella, Richard Henwood, Victoria Marshall and Brian
Matthews
Introduction to CLF
Target Area
Users visiting CLF bring their own diagnostics.
They still need to exchange information with the CLF team:1.Request a ‘shot’ of a given power2.Discover what CLF delivered
CLF workflow
Users
CLF staff
The laser
CLF/e-Science ImpactCLF: improved workflow:
-> less effort delivering service
CLF/e-Science ImpactCLF: improved workflow:
-> less effort delivering service -> more effort to do Science -> more Nature covers!
CLF/e-Science ImpactCLF: improved workflow:
-> less effort delivering service -> more effort to do Science -> more Nature covers!
e-Science: CLF data service:-> enabling more CLF Science
CLF/e-Science ImpactCLF: improved workflow:
-> less effort delivering service -> more effort to do Science -> more Nature covers!
e-Science: CLF data service:-> enabling more CLF Science
but also...-> eSc add value to User data-> more Nature covers!
CLF workflow
Users
CLF staff
The laser
First, add value for CLFFunctional requirements• 1000 diagnostic channels• Data bursts 20 seconds apart• 3 data types: 0d, 1d, 2d• Virtual channels• NeXus data format!• Stand-alone client• Flexible addition of new channels• Analysis capabilities of the client• Offsite access• Secure data collection for target area• Generalise to Vulcan
Production system (Pipeline)
Production system (Pipeline)
The Good• Pipeline handles real data bursts• Stand-alone client provides advanced analysis
The bad• Quality of service
– No monitoring– No-one wants to Sys-admin
• Quality of protection– Host and firewall are the same machine– No access control
• Scalability– Increase burst rate?
DB Schema issues
• Adding new channels requires a new _column_ on our DB table!
• Eg Tracetable <50% useful data
DB Schema issues
• Adding new channels requires a new _column_ on our DB table
• Eg Tracetable <50% useful data
• The Ugly
Phase II – a SOA
Managing risksQ: Will HTTP be fast enough? A:
Project Scott
Instrumenting for e-Science
Beyond thumb drive Sharing
Pre-Conditions• Compelling service offering• CLF are enthusiastic• Funders data policy
?
Instrumenting for e-Science:
Sharing dataThe carrot• Governance
Instrumenting for e-Science:
Sharing dataMore carrots• Convenience• Social data• Maximising
value of your work
The carrot• Governance
Conclusions
•Unique problem domain•MVC and SOA approach in phase 2•Detailed benchmarking phase•Data governance is an important value-add•Great opportunity to do novel e-Science