Title: Global accelerator network TTF
1Global accelerator network_at_TTF
Raimund Kammering DESY MVP TTF2 Review Meeting
at Salzau, 20.-22. January 2003
2Overview
- Motivation for a GAN
- Implementation _at_ TTF1
- Making the next step TTF2
3Why do we need a GAN?
- Build a (big) project within an international
collaboration - effectively use of world-wide competence, ideas
and resources - maintain and foster the centers of excellence in
accelerator physics around the world - Challenges
- how to develop trust between people and cultures?
- how to keep the people involved and responsible?
- how to communicate and distribute the
information?
4What is a GAN?
- Remote operation
- Remote solving of problems
- Remote improvements/developments/measurements
- Share information and documentation
- Remote meetings/conferences
collaborative work
5Requirements for remote operation
- Network security (firewall, port filter, SSH,
https) - Machine protection system (interlock sys.)
- Common control system interface
- Access to all devices and data (diagnostics,
resets) - Electronic logbook
- Video conferencing (shift turnover meetings)
- Operator training
6Remote operation (security)
Remote Terminal X-Window Web Browser
Somewhere in the world
SSH
Web
Firewall Port filter
Accelerator site
Server for Applications eLogBook
Front-ends
7Experience with remote operation _at_ TTF
Home, Office
Milano, Roma
Paris
Chicago
Hamburg
Berlin
INFN
Saclay Orsay
BKR
Fermilab A0
PITZ
TTF
TTF DESY (Hamburg)
A0 Fermilab
PITZ DESY (Berlin)
Facility to control
8The electronic logbook
- Is a must for doing remote shifts
- Involves more people into the daily operation
- Can be the common place for all measurement
results - Is accessible from everywhere at every time
An e-logbook is an important tool for a GAN!
9The TTF eLogBook
10The TTF eLogBook
The world wide web
Gather information and status
Home
Accelerator site
Accelerator
Comment
Office
Interact
Make inputs
Operator
Location x
11The TTF eLogBook (cont.)
- Has gained a high acceptance
- Already triggered some contributions (H1)
- Designed as an open tool (is extensible)
- Is the common place for all measurement results
Has proven to be a good GAN tool!
12Video tools _at_ TTF
- First experience with MS Netmeeting (shifts)
- - Bad audio quality
- - Only point to point connections possible
We need a better video tool!
- Some test with VRVS have been done (conference)
- Good audio quality
- Multicast connections possible
13Making the next step TTF2
The control system
- DOOCS provides all tools necessary to do remote
operation - We have good experience with remote shifts and
maintenance - We need to provide also access to the long term
data (DAQ) to the world (talk of K. Rehlich)
DOOCS is a adequate control system in the sense
of a GAN
14Making the next step TTF2
The electronic logbook
- Shows that the web technologies can really help
- The use of these web techniques will be extended
to offer more information general error and info
service (poster of O. Hensler _at_ PCaPAC 2002)
Web services have proven be the adequate
technique for delivering information/documentation
in the sense of a GAN
15Making the next step TTF2
The video systems
- General technique fulfills our needs
- Different systems have to be evaluated
- Techniques have to be improved, users have to get
used to these new systems
We will have to work on this area to establish
the functionality we need
16DAQ _at_ TTF2
The TTF2 DAQ system as an example for a
collaborative GAN work
- As already stated in the talk of K. Rehlich do we
need a DAQ to further improve and develop the
accelerator - Such a DAQ system brings up some new challenges
in terms of the huge amount of data
17DAQ _at_ TTF2
User GUI (ROOT)
Filter, configure
Orbit server
DAQ
max 50GB/day
Disk backup
Shared memory
possible 8TB/day
dCache tape storage
ADCs 800 channels
18DAQ _at_ TTF2
- This huge amount of data is in the range of an
average HEP experiment (H1 110 GB/day) - Here we could learn from the experiments
We established a collaboration with Ohio
State/Cornell/Zeuthen
Work in such a collaboration can only be done in
the sense of a GAN
19The end
Thanks for your attention!
Refs DOOCS http//tesla.desy.de/doocs
eLogBook http//ttfinfo.desy.de/TTF TTF
GAN http//tesla.desy.de/doocs/GAN