Benchmarking Big Data (Parallel Session 3.2)

• Introduction – Arne Berre/Axel Ngonga
• Designing Big Data Benchmarks – Irini Fundulaki
• LDBC – Peter Boncz
• DataBench – Gabriella Cattaneo/Tomas P. Lobo
• Holistic Benchmarking – Axel Ngonga/Gayane Sedrakyan
• Benchmarking as a service – Pavel Smirnov (AGT)
• The EU Big Data Inducement price challenge – Kimmo Rossi (EC)
• Presentation of solutions of winners of the EU Big Data Inducement Prize
• Summary and Discussion

DESCRIPTION

This session will be organized by TF6 SG7. The goal of the session is to discuss and promote benchmarking (especially for Big Data platforms) with a focus on European stakeholders. The session will hence focus on:

• Unveiling key requirements and results gathered over the last three years of Big Data benchmarking at a European scale.
• Gathering future needs, trends and directions for benchmarking from a European perspective. Interactive presentations (powered by tools such as Mentimeter) will be combined with discussions in an open workshop-like atmosphere. We foresee the following structure (subject to
  changes):
  • Introduction and BDVA reference model.
  • European benchmarking efforts and best practices (HOBBIT, DataBench, LDBC, etc.).
  • Application areas (societal challenges, IOT, smart cities, smart homes, etc.).
  • Future trends.
• Key areas interaction will include the completion of existing models, current practical challenges faced by European stakeholders and current trends (especially in societal challenges). The objectives of the session include:
  • Present the current offering of TF6 SG7.
  • Monitor current development in benchmarking (especially in Europe).
  • Collect real needs from varied stakeholders pertaining to benchmarking that really matters for their systems.
  • Discover new avenues of research/use for benchmarking technologies.