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MONARC (RD55) Data Management and Computing using Distributed Architectures

MONARC (RD55) Data Management and Computing using Distributed Architectures. Draft proposal to LCB. Mainly from ATLAS/CMS (~50 signatories) . LHCb have started with limited effort from Oxford and Marseille. Other institutes invited to participate. Scope of the project.

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MONARC (RD55) Data Management and Computing using Distributed Architectures

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  1. MONARC (RD55)Data Management and Computing using Distributed Architectures Draft proposal to LCB. Mainly from ATLAS/CMS (~50 signatories) . LHCb have started with limited effort from Oxford and Marseille. Other institutes invited to participate F Harris (LHCb)

  2. Scope of the project • Given the resources available (networks, data-handling capacity at sites) and the analysis requirements- define feasible working models for computing • Parametrisation of models (pencil and paper + measurements) • Produce example computer models (need simulation and modelling tools) • Provide guidelines to enable experiments to build their respective computer models. F Harris (LHCb)

  3. Role of experiments • Prepare models for reconstruction, analysis, Monte Carlo etc. (data access and processing) • Collaborate with the project in ‘agreeing’ a set of feasible models for computing • ?? Help in developing modelling tools F Harris (LHCb)

  4. WORKPLAN(being reviewed) • STAGE1 • Identify/build simulation tools and baseline parameters of models • Assess technology status (databases,networking, CPU) • Analyse a set of baseline models • STAGE2 • Architecture and Implementation studies • ‘Scaling tests’ using current expts and LHC prototypes • STAGE3 • Future R and D ?? F Harris (LHCb)

  5. DELIVERABLES • Specifications of well defined ‘feasible’ models • Guidelines to experiments on how to use the baseline models to develop their own • A set of modelling tools F Harris (LHCb)

  6. SCHEDULE • PHASE1 • Provide a basic sets of tools by mid 99 • PHASE2 • Provide refined set of tools • Guidelines for building feasible CMs - in time for TPRs (late 99 for ATLAS/CMS) • PHASE3 • Provide prototype designs for prototype CMSs for the next TPRs (2001?) F Harris (LHCb)

  7. MANPOWER • Most from experiments • 7.8 FTE from Atlas/CMS, • 3*0.1 from LHCb • 2.5 FTE from IT requested • Modelling toolset 1 FTE • Distributed Database and Computing .5 FTE • Networking studies .5 FTE • Setup of Test-bed .5 FTE F Harris (LHCb)

  8. Equipment/Travel request • Workgroup Server at CERN 60 kSfr • S/W Licences 40 kSfr • Network Interfaces 20 kSfr • Travel 20 kSfr • TOTAL 140 kSfr F Harris (LHCb)

  9. LHCb position • We support the basic idea of LHC experiments collaborating in defining feasible models for computing. • LHCb will, in the first instance, look at UK planning for LHC computing (Oxford) • LHCb are looking for effort to define model for LHCb related physics analysis (? Marseille) • There is some concern about effort required for computer modelling, and whether the results will justify the effort. F Harris (LHCb)

  10. Immediate MONARC schedule • August 27 define WGs and review PEP writing status • Sep 8 draft 0 for comment • Sep 14 meeting in Lyon to form draft 1 • Sep 19 meeting at CERN -editing before submission to LCB • Sep 26 very last comments on the PEP • Oct 1 Submit PEP to LCB • Oct 6 Present PEP to LCB • Oct 7 Project starts (?) F Harris (LHCb)

  11. Tasks and Working Groups(see http://www.mi.infn.it/~perini/monarc_tl.html for more detail) • SIMULATION • Identify simulation tool (and maintain) • Run simulations and organise results • COMPUTER MODEL ARCHITECTURE • Define ‘centre’ architectures….CPU, Storage, Networking • Define OODBMS implementation • DESIGN ANALYSIS PROCESS • Requirements for physics analysis (CPU, data access pattern) • Look at overall user activity pattern • IMPLEMENT TESTBEDS and MEASURE CRITICAL PARAMETERS • Verify key parameters of the simulation • Gather data on parameters for the simulation F Harris (LHCb)

  12. Useful Documents • http://www.mi.infn.it/~cmp/modelsv1.html • ‘Analysis Model and the optimisation of the distribution of resources’, Campanella and Perini, INFN/Milan • http://wwwinfo.cern.ch/pdp/pc/soda/ • Simulation of Distributed Data Architectures (SODA), C von Praun, system which has been used for modelling several applications • NA45 Data Analysis with farm of PCs • ATLAS Event Filter Prototype • Wide Area Network profile of ‘Average Physicist’ in 2005 F Harris (LHCb)

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