RCMS Structure RCMS Security UserDB Service Resource ConfDB

Slides:



Advertisements
Similar presentations
10 February Event Monitoring and Event File Maintenance.
Advertisements

Remigius K Mommsen Fermilab A New Event Builder for CMS Run II A New Event Builder for CMS Run II on behalf of the CMS DAQ group.
CMS Michele Gulmini, CHEP2003, San Diego USA, March Run Control and Monitor System for the CMS Experiment Michele Gulmini CERN/EP – INFN Legnaro.
Customizing Outlook. Forms Window in which you enter and view information in Outlook Outlook Form Designer The environment in which you create and customize.
Calo Piquet Training Session - Xvc1 ECS Overview Piquet Training Session Cuvée 2012 Xavier Vilasis.
BOE/BME – MDT: DCS For the 2 BOE, DCS needs to handle 2 x 2 HV (1 ch/multilayer) 2x LV 2x JTAG, associated 2 MDMs/ELMBs Monitoring of T, B and CSM sensors.
CMS Michele Gulmini, Cern, DAQ Weekly 07/05/ RCMS – Plan of work Michele Gulmini DAQ Weekly 7th May 2002.
SMACS Slow Monitor And Control System Developed system for CDF-TOF proposed for Atlas-MDT/RPC.
JCOP Workshop September 8th 1999 H.J.Burckhart 1 ATLAS DCS Organization of Detector and Controls Architecture Connection to DAQ Front-end System Practical.
CMS Luigi Zangrando, Cern, 05/03/ RCMS for XDaq based small DAQ Systems M. Gulmini, M. Gaetano, N. Toniolo, S. Ventura, L. Zangrando INFN – Laboratori.
C.Combaret, L.Mirabito Lab & beamtest DAQ with XDAQ tools.
G. Maron, Agata Week, Orsay, January Agata DAQ Layout Gaetano Maron INFN – Laboratori Nazionali di Legnaro.
XXVI Workshop on Recent Developments in High Energy Physics and Cosmology Theodoros Argyropoulos NTUA DCS group Ancient Olympia 2008 ATLAS Cathode Strip.
DCS Workshop - L.Jirdén1 ALICE DCS PROJECT ORGANIZATION - a proposal - u Project Goals u Organizational Layout u Technical Layout u Deliverables.
André Augustinus 10 September 2001 DCS Architecture Issues Food for thoughts and discussion.
Databases E. Leonardi, P. Valente. Conditions DB Conditions=Dynamic parameters non-event time-varying Conditions database (CondDB) General definition:
ALICE Computing Model The ALICE raw data flow P. VANDE VYVRE – CERN/PH Computing Model WS – 09 Dec CERN.
Data Acquisition System of SVD2.0 This series of slides explains how we take normal, calibration and system test data of the SVD 2.0 and monitor the environment.
ALICE, ATLAS, CMS & LHCb joint workshop on
Controls EN-ICE Finite States Machines An introduction Marco Boccioli FSM model(s) of detector control 26 th April 2011.
Dynamic configuration of the CMS Data Acquisition Cluster Hannes Sakulin, CERN/PH On behalf of the CMS DAQ group Part 1: Configuring the CMS DAQ Cluster.
Databases in CMS Conditions DB workshop 8 th /9 th December 2003 Frank Glege.
Overview of DAQ at CERN experiments E.Radicioni, INFN MICE Daq and Controls Workshop.
5/2/  Online  Offline 5/2/20072  Online  Raw data : within the DAQ monitoring framework  Reconstructed data : with the HLT monitoring framework.
Part I – Shifter Duties Part II – ACR environment Part III – Run Control & DAQ Part IV – Beam Part V – DCS Part VI – Data Quality Monitoring Part VII.
Gaetano Maron, CPT week, CERN, 18 April Run Control and Conditions DB CMS CPT Week, CERN 18 April 2002 G. Maron INFN – Laboratori Nazionali di Legnaro.
Gaetano Maron, CPT week, CERN, 16 April RCS Discussion.
Controls EN-ICE FSM for dummies (…w/ all my respects) 15 th Jan 09.
DAQ Andrea Petrucci 6 May 2008 – CMS-UCSD meeting OUTLINE Introduction SCX Setup Run Control Current Status of the Tests Summary.
CMS Luigi Zangrando, Cern, 16/4/ Run Control Prototype Status M. Gulmini, M. Gaetano, N. Toniolo, S. Ventura, L. Zangrando INFN – Laboratori Nazionali.
Management of the LHCb Online Network Based on SCADA System Guoming Liu * †, Niko Neufeld † * University of Ferrara, Italy † CERN, Geneva, Switzerland.
Clara Gaspar, April 2006 LHCb Experiment Control System Scope, Status & Worries.
LHCb Configuration Database Lana Abadie, PhD student (CERN & University of Pierre et Marie Curie (Paris VI), LIP6.
1 ECS CALO LED Control System CALO Piquet Training Session Anatoli Konoplyannikov /ITEP/ Outline  Introduction  Calorimeter ECS LED monitoring.
14 th IEEE-NPSS Real Time Stockholm - June 9 th 2005 P. F. Zema The GNAM monitoring system and the OHP histogram presenter for ATLAS 14 th IEEE-NPSS Real.
CMS Luigi Zangrando, Cern, 16/4/ Run Control Prototype Status M. Gulmini, M. Gaetano, N. Toniolo, S. Ventura, L. Zangrando INFN – Laboratori Nazionali.
20OCT2009Calo Piquet Training Session - Xvc1 ECS Overview Piquet Training Session Cuvée 2009 Xavier Vilasis.
C. Kiesling, 11th B2GM PXD Session, KEK, March , Slow Control System for the PXD PXD Support Systems & Control UNICOS Standard PVSS User Interface.
Scalable Readout System Data Acquisition using LabVIEW Riccardo de Asmundis INFN Napoli [Certified LabVIEW Developer]
ATLAS Detector Resources & Lumi Blocks Enrico & Nicoletta.
Karol Buńkowski, University of Warsaw Control software in the current RPC trigger and DAQ system CMS GEM 2 day Electronics Meeting 10 October 2012.
CMS DAQ project at Fermilab
Detector Control System
Peter Chochula Calibration Workshop, February 23, 2005
CCS Engineering Tools The tools are used help development and debugging of VLT SW control applications This presentation will provide a general view of.
R. Alemany (LIP) Session 2: Database
ATLAS MDT HV – LV Detector Control System (DCS)
CMS – The Detector Control System
Calibrating ALICE.
ProtoDUNE Installation Workshop - DAQ
WinCC-OA Upgrades in LHCb.
DAQ upgrades at SLHC S. Cittolin CERN/CMS, 22/03/07
L0 processor for NA62 Marian Krivda 1) , Cristina Lazzeroni 1) , Roman Lietava 1)2) 1) University of Birmingham, UK 2) Comenius University, Bratislava,
Lec3: Network Management
RCMS Internet - Intranet UI 9-1.
IBM AS 400 online Training in Hyderabad
M. Gulmini, G, Maron, N. Toniolo, L. Zangrando
The LHCb Run Control System
The IFR Online Detector Control at the BaBar experiment at SLAC
John Harvey CERN EP/LBC July 24, 2001
Substation Automation System
The IFR Online Detector Control at the BaBar experiment at SLAC
The Online Detector Control at the BaBar experiment at SLAC
CTP offline meeting 16/03/2009 A.Jusko and R.Lietava
The Performance and Scalability of the back-end DAQ sub-system
Pierluigi Paolucci & Giovanni Polese
Pierluigi Paolucci & Giovanni Polese
Tools for the Automation of large distributed control systems
ACO & AD DCS Mario Iván Martínez H..
Lec1: Introduction to Network Management
Presentation transcript:

RCMS Structure RCMS Security UserDB Service Resource ConfDB Sub-System (Daq)Resources Security Service Resource Info&Mon Job Ctrl Problem Solver Controller Services Connection Session Manager RCMS UI UserDB ConfDB LogDB Run Bkkpng

RCMS Layout RCMS Services Connection Session Manager UI Services RUs EVB Ctrl CS TRG DCS EVF RUs EVM BUs CS Sub- System Glbl Mu Cal DCS Sub- System EVB Sub-System TRG Sub-System EVF Sub-System RCMS

Interaction with the sub-systems The Control Network topology of the sub-systems. Possible hierarchies introduced by the DAQ slicing Commands submission and information (errors, monitor, etc.) collection performances inside a given sub-system. Where all this is reported? Do we need it? Interaction with DCS and CS. (?) EVB BU Slice X sub-system BU EVM RU Sub-System Controller DAQ resource

Run Sessions and Partitions (i) UI UI run session A UI UI UI UI run session B RCMS Session Manager Session Manager Services Services Services Connection EVB Ctrl CS Ctrl TRG Ctrl DCS Ctrl EVF Ctrl BUs EVM RUs Cal Mu Glbl EVB Sub-System TRG Sub-System EVF Sub-System DCS Sub- System CS Sub- System

Run Session and Partitions (ii) RCMS should interact with the Trigger sub-system to get/set the available partitions. Are they defined and stored in the Resource Service? Who set the trigger partitions? The same for DCS.

Run Definition CLASSIC Start Stop Start Stop LHC “spill” LHC Start homogeneous conditions homogeneous conditions CLASSIC Start Stop Start Stop Run # X Run # X+1 Change Conditions Store new conditions Change data file LHC “spill” LHC Start Stop condition Y changed condition Z changed Condition DB dump conditions Fast Reset mini Run A B C D E

IMS & Run Conditions We assume the run conditions coming from all the sub-systems (including trigger and DCS) are managed by the Information and Monitor System. Is this true? Is the message definition adequate for handling this type of information? DB performances requirements must be defined much better. If any “natural” hierarchy is defined (e.g. the one introduced by the daq slicing), it can be reflected in the DB design helping in this way the scalability of the system. The system has O (10000) (?) objects with related status to save every time a dump condition is required. we could have an incremental dump: we save all the conditions at start time and then after that only the ones have been changed. we need to know size, types, etc. of the parameters characterizing the detectors setup (HV, LV, P, T, etc.). How we can get them? How fast we can read them? any defined hierarchy? Same for the trigger system.

IMS message definition T, Type, Id, Specific Fields, Source_Id Time Stamp Message Source Id Message Type: Errors Generic Status Change Monitor Message Id According to Type e.g. for Errors: - Severity Level (0=warning) - Description