TU Darmstadt / ULB / TUbiblio

Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data

Battle, Leilani and Eichmann, Philipp and Angelini, Marco and Catarci, Tiziana and Santucci, Giuseppe and Zheng, Yukun and Binnig, Carsten and Fekete, Jean-Daniel and Moritz, Dominik (2020):
Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data.
In: Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data, pp. 1571-1587,
ACM, SIGMOD/PODS '20: International Conference on Management of Data, virtual Conference, 14.-19.06, ISBN 9781450367356,
DOI: 10.1145/3318464.3389732,
[Conference or Workshop Item]

Abstract

In this paper, we present a new benchmark to validate the suitability of database systems for interactive visualization workloads. While there exist proposals for evaluating database systems on interactive data exploration workloads, none rely on real user traces for database benchmarking. To this end, our long term goal is to collect user traces that represent workloads with different exploration characteristics. In this paper, we present an initial benchmark that focuses on "crossfilter"-style applications, which are a popular interaction type for data exploration and a particularly demanding scenario for testing database system performance. We make our benchmark materials, including input datasets, interaction sequences, corresponding SQL queries, and analysis code, freely available as a community resource, to foster further research in this area: https://osf.io/9xerb/?viewonly=81de1a3f99d04529b6b173a3bd5b4d23.

Item Type: Conference or Workshop Item
Erschienen: 2020
Creators: Battle, Leilani and Eichmann, Philipp and Angelini, Marco and Catarci, Tiziana and Santucci, Giuseppe and Zheng, Yukun and Binnig, Carsten and Fekete, Jean-Daniel and Moritz, Dominik
Title: Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data
Language: English
Abstract:

In this paper, we present a new benchmark to validate the suitability of database systems for interactive visualization workloads. While there exist proposals for evaluating database systems on interactive data exploration workloads, none rely on real user traces for database benchmarking. To this end, our long term goal is to collect user traces that represent workloads with different exploration characteristics. In this paper, we present an initial benchmark that focuses on "crossfilter"-style applications, which are a popular interaction type for data exploration and a particularly demanding scenario for testing database system performance. We make our benchmark materials, including input datasets, interaction sequences, corresponding SQL queries, and analysis code, freely available as a community resource, to foster further research in this area: https://osf.io/9xerb/?viewonly=81de1a3f99d04529b6b173a3bd5b4d23.

Title of Book: Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data
Publisher: ACM
ISBN: 9781450367356
Uncontrolled Keywords: dm
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Data Management
Event Title: SIGMOD/PODS '20: International Conference on Management of Data
Event Location: virtual Conference
Event Dates: 14.-19.06
Date Deposited: 14 Dec 2020 09:30
DOI: 10.1145/3318464.3389732
Export:
Suche nach Titel in: TUfind oder in Google
Send an inquiry Send an inquiry

Options (only for editors)
Show editorial Details Show editorial Details