1. Global accelerator network @ TTF Raimund Kammering DESY MVP TTF2 Review Meeting at Salzau, 20.-22. January 2003

2. Raimund Kammering, DESY MVP22. January 20032 Overview Motivation for a GANMotivation for a GAN Implementation @ TTF1Implementation @ TTF1 Making the next step: TTF2Making the next step: TTF2

3. Raimund Kammering, DESY MVP22. January 20033 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. Raimund Kammering, DESY MVP22. January 20034 What is a GAN? Remote operation Remote solving of problems Remote improvements/developments/measurements Share information and documentation Remote meetings/conferences collaborative work

5. Raimund Kammering, DESY MVP22. January 20035 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. Raimund Kammering, DESY MVP22. January 20036 Remote operation (security) I / O CPU I / O CPU I / O CPU SSH +Web Firewall Port filter Remote Terminal X-Window Web Browser Server for Applications eLogBook Front-ends Accelerator site Somewhere in the world

7. Raimund Kammering, DESY MVP22. January 20037 Experience with remote operation @ TTF TTF DESY (Hamburg) A0 Fermilab PITZ DESY (Berlin) Facility to control TTF BKR Home, Office Hamburg Milano, Roma Paris Chicago Berlin INFN PITZ Saclay Orsay Fermilab A0

8. Raimund Kammering, DESY MVP22. January 20038 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 The electronic logbook An e-logbook is an important tool for a GAN!

9. Raimund Kammering, DESY MVP22. January 20039 The TTF eLogBook

10. Raimund Kammering, DESY MVP22. January 200310 The TTF eLogBook Accelerator Operator Make inputs Interact Home Office Location x Accelerator site Gather information and status Comment The world wide web

11. Raimund Kammering, DESY MVP22. January 200311 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 The TTF eLogBook (cont.) Has proven to be a good GAN tool!

12. Raimund Kammering, DESY MVP22. January 200312 First experience with MS Netmeeting (shifts) - Bad audio quality - Only point to point connections possible Video tools @ TTF We need a better video tool! Some test with VRVS have been done (conference) + Good audio quality + Multicast connections possible

13. Raimund Kammering, DESY MVP22. January 200313 Making the next step: TTF2 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) The control system DOOCS is a adequate control system in the sense of a GAN

14. Raimund Kammering, DESY MVP22. January 200314 Making the next step: TTF2 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 @ PCaPAC 2002) The electronic logbook Web services have proven be the adequate technique for delivering information/documentation in the sense of a GAN

15. Raimund Kammering, DESY MVP22. January 200315 Making the next step: TTF2 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 The video systems We will have to work on this area to establish the functionality we need

16. Raimund Kammering, DESY MVP22. January 200316 DAQ @ TTF2 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 The TTF2 DAQ system as an example for a collaborative GAN work

17. Raimund Kammering, DESY MVP22. January 200317 DAQ @ TTF2 DAQ Orbit server ADC’s ~800 channels possible 8TB/day max 50GB/day Shared memory Disk backup dCache tape storage User GUI (ROOT) Filter, configure

18. Raimund Kammering, DESY MVP22. January 200318 DAQ @ 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. Raimund Kammering, DESY MVP22. January 200319 The end Thanks for your attention! Refs: DOOCS:http://tesla.desy.de/doocshttp://tesla.desy.de/doocs eLogBook:http://ttfinfo.desy.de/TTFhttp://ttfinfo.desy.de/TTF TTF GAN:http://tesla.desy.de/doocs/GANhttp://tesla.desy.de/doocs/GAN