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Global accelerator network TTF

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Remote Terminal. X-Window. Web Browser. Server for Applications. eLogBook. Front-ends ... The TTF eLogBook (cont.) Has proven to be a good GAN tool! ... – PowerPoint PPT presentation

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Title: Global accelerator network TTF


1
Global accelerator network_at_TTF
Raimund Kammering DESY MVP TTF2 Review Meeting
at Salzau, 20.-22. January 2003
2
Overview
  • Motivation for a GAN
  • Implementation _at_ TTF1
  • Making the next step TTF2

3
Why 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?

4
What is a GAN?
  • Remote operation
  • Remote solving of problems
  • Remote improvements/developments/measurements
  • Share information and documentation
  • Remote meetings/conferences

collaborative work
5
Requirements 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

6
Remote 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
7
Experience 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
8
The 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!
9
The TTF eLogBook
10
The TTF eLogBook
The world wide web
Gather information and status
Home
Accelerator site
Accelerator
Comment
Office
Interact
Make inputs
Operator
Location x
11
The 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!
12
Video 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

13
Making 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
14
Making 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
15
Making 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
16
DAQ _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

17
DAQ _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
18
DAQ _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
19
The 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
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