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MONARC (RD55) Data Management and Computing using Distributed Architectures

The draft proposal outlines the scope, goals, and deliverables of the MONARC project focused on computing models for LHC experiments. The project aims to define feasible models and provide guidelines for implementation. Role of different experiments, work plan stages, deliverables, schedule, manpower, and equipment/travel requests are detailed. Immediate schedule, tasks, and working groups are also specified. Relevant documents and useful links are provided for reference.

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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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