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RDF and Graph benchmarking
                www.ldbc.eu
                          European Data Forum
                               Dublin, IRL
                             Apr. 9th, 2013

Josep-L. Larriba-Pey, coordinator of LDBC, larri@ac.upc.edu
Why benchmarking
• Two main objectives:
  – Allow final users to assess the performance of the
    software they want to buy
  – Push the technology to the limit to allow for
    progress
• Main effort in DB benchmarking up to now
  – TPC: Transaction Processing Performance Council
     • Relational DBs: Transactional and DSS
LDBC
• Objectives:
  – Benchmarks for the emerging field of RDF and
    Graph database management systems (GDBs)
  – Spur industry cooperation around benchmarks
  – Create LDBC foundation during 2013.

  – Become a technology push effort, making
    improvements measurable
  – Become the de-facto research benchmark, usable,
    interesting and open to inputs.
Preliminary remarks
• Nature:
  – LDBC is different from other EC projects.
  – The objective for LDBC is to survive after the end.
• Opportunity:
  – Have a benchmarking effort sponsored by EC.
  – Focal point for the vendor community.
  – Showcase to the user community.
• Collaboration:
  – LDBC should lead to great achievements and world
    recognition, with the help of all the community:
    industry, technologists and users.
Who is involved
Project Overview: the WPs
Matrix Organization
• EU project reporting activities (WPs)
• LDBC benchmark task force activities (TFs)
           WP1   WP2   WP3   WP4

     TF1
     TF2                           (part of) deliverable/
                                   task force artifact
     TF3
     TF4
     TF5
Task forces
• Focusses on specific benchmarking effort (i.e.
  transactional, analytical, integration for RDF/GDB)
• Decides on the Use Case to be used
• Procedure:
   – Designs and implements data generation (characteristics,
     scale, etc.)
   – Incorporates the generic methodology
   – Designs specific workload
      • Choke points specific for the effort
      • Incorporating the needs from users
      • Incorporating the opinions from industry
Technical User Community (TUC)
• It will be the driving force for LDBC:
   – To help understand users needs and decide use cases
   – To decide the type of problem/scenarios to be tackled,
     i.e. task forces to be deployed
   – To provide typical queries placed to RDF and GDBs
• First TUC meeting, Barcelona 19-20 Nov.
   – Start with an on-line questionaire:
     http://goo.gl/PwGtK
   – The outcomes will determine important directions

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EDF2014: Stefan Wrobel, Institute Director, Fraunhofer IAIS / Member of the b...
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EDF2014: Michele Vescovi, Researcher, Semantic & Knowledge Innovation Lab, It...
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EDF2014: Allan Hanbury, Senior Researcher, Vienna University of Technology, A...
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EDF2014: Nikolaos Loutas, Manager at PwC Belgium, Business Models for Linked ...
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EDF2014: Vedran Sabol, Head of the Knowledge Visualisation Area, Know-Center,...
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EDF2014: Daniel Vila-Suero, Researcher, Ontology Engineering Group, Universid...
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EDF2014: Piek Vossen, Professor Computational Lexicology, VU University Amste...
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EDF2014: Taru Rastas, Senior Advisor, Ministry of Communications of Finland: ...
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EDF2014: José Ignacio Sánchez Valdenebro, Deputy Director of Digital Public S...
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  • 1. RDF and Graph benchmarking www.ldbc.eu European Data Forum Dublin, IRL Apr. 9th, 2013 Josep-L. Larriba-Pey, coordinator of LDBC, larri@ac.upc.edu
  • 2. Why benchmarking • Two main objectives: – Allow final users to assess the performance of the software they want to buy – Push the technology to the limit to allow for progress • Main effort in DB benchmarking up to now – TPC: Transaction Processing Performance Council • Relational DBs: Transactional and DSS
  • 3. LDBC • Objectives: – Benchmarks for the emerging field of RDF and Graph database management systems (GDBs) – Spur industry cooperation around benchmarks – Create LDBC foundation during 2013. – Become a technology push effort, making improvements measurable – Become the de-facto research benchmark, usable, interesting and open to inputs.
  • 4. Preliminary remarks • Nature: – LDBC is different from other EC projects. – The objective for LDBC is to survive after the end. • Opportunity: – Have a benchmarking effort sponsored by EC. – Focal point for the vendor community. – Showcase to the user community. • Collaboration: – LDBC should lead to great achievements and world recognition, with the help of all the community: industry, technologists and users.
  • 7. Matrix Organization • EU project reporting activities (WPs) • LDBC benchmark task force activities (TFs) WP1 WP2 WP3 WP4 TF1 TF2 (part of) deliverable/ task force artifact TF3 TF4 TF5
  • 8. Task forces • Focusses on specific benchmarking effort (i.e. transactional, analytical, integration for RDF/GDB) • Decides on the Use Case to be used • Procedure: – Designs and implements data generation (characteristics, scale, etc.) – Incorporates the generic methodology – Designs specific workload • Choke points specific for the effort • Incorporating the needs from users • Incorporating the opinions from industry
  • 9. Technical User Community (TUC) • It will be the driving force for LDBC: – To help understand users needs and decide use cases – To decide the type of problem/scenarios to be tackled, i.e. task forces to be deployed – To provide typical queries placed to RDF and GDBs • First TUC meeting, Barcelona 19-20 Nov. – Start with an on-line questionaire: http://goo.gl/PwGtK – The outcomes will determine important directions