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Data Cataloguing

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Sub-collection. Sub-collection. Location. Location. Location. File. File. Location. Location ... Collection. Currently implemented using LDAP, central service ... – PowerPoint PPT presentation

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Title: Data Cataloguing


1
Data Cataloguing
  • thoughts, plans, discussions for the
  • Belle Analysis Data Grid
  • Lyle Winton winton_at_physics.unimelb.edu.au

2
Replica Catalog
  • Currently implemented using LDAP, central service
  • Looks like development is moving away from this!

3
LDAP Advantages - Referrals
4
LDAP Advantages - Master/Slave
5
An RLS model for data cataloguing
6
Meta-Data Repository
Data, Simulation, Skim, Histogram
7
Meta-Data Structure
High Level
Name, Version
8
Meta-Data Structure
  • Data oriented queries
  • List the files resulting from job X.
  • Retrieve the list of all simulation data of X
    type of event.
  • How can file X be regenerated? (if lost or
    expired)
  • Other queries that we can imagine
  • What is the status of job X ?
  • What analyses similar to X have been undertaken?
  • What tools are being used for X analysis?
  • Who else is doing analysis X or using tool Y ?
  • What are the typical parameters used for tool X
    ?And for analysis Y ?
  • Search for data skims (filtered sets) that are
    supersets of my analysis criteria.
  • Do we have enough information so that future apps
    agents could propose data, tools, and
    parameters given a high level job/analysis
    description?
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