- AutorIn
- Wolfgang Lehner Technische Universität Dresden, Fakultät Informatik, Institut für Systemarchitektur, Professur Datenbanken
- Matthias Böhm
- Dirk HabichTechnische Universität Dresden, Fakultät Informatik, Institut für Systemarchitektur, Professur Datenbanken
- Uwe Wloka
- Titel
- DIPBench Toolsuite
- Untertitel
- A Framework for Benchmarking Integration Systems
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-792738
- Konferenz
- IEEE 24th International Conference on Data Engineering. Cancun, 07.-12.04.2008
- Quellenangabe
- 2008 IEEE 24th International Conference on Data Engineering. Proceedings
Erscheinungsort: New York, NY
Verlag: Institute of Electrical and Electronics Engineers incorporated (IEEE)
Erscheinungsjahr: 2008
Seiten: 1596-1599 - Erstveröffentlichung
- 2008
- Abstract (EN)
- So far the optimization of integration processes between heterogeneous data sources is still an open challenge. A first step towards sufficient techniques was the specification of a universal benchmark for integration systems. This DIPBench allows to compare solutions under controlled conditions and would help generate interest in this research area. However, we see the requirement for providing a sophisticated toolsuite in order to minimize the effort for benchmark execution. This demo illustrates the use of the DIPBench toolsuite. We show the macro-architecture as well as the micro-architecture of each tool. Furthermore, we also present the first reference benchmark implementation using a federated DBMS. Thereby, we discuss the impact of the defined benchmark scale factors. Finally, we want to give guidance on how to benchmark other integration systems and how to extend the toolsuite with new distribution functions or other functionalities.
- Andere Ausgabe
- Link zum Artikel, der zuerst in der IEEE Xplore Digital Library erschienen ist:
DOI: 10.1109/ICDE.2008.4497630 - Freie Schlagwörter (DE)
- Benchmark-Tests, Data Mining, XML, Datenbanken, Verteilungsfunktionen, Data Warehouses, Durchsatz, Job Shop Scheduling, Messung, Verfügbarkeit
- Freie Schlagwörter (EN)
- Benchmark testing , Data mining , XML , Databases , Distribution functions , Data warehouses , Throughput , Job shop scheduling , Measurement , Availability
- Klassifikation (DDC)
- 005
- Verlag
- IEEE, New York, NY
- Version / Begutachtungsstatus
- angenommene Version / Postprint / Autorenversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-792738
- Veröffentlichungsdatum Qucosa
- 27.05.2022
- Dokumenttyp
- Konferenzbeitrag
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis