- AutorIn
- Wolfgang Lehner Technische Universität Dresden, Fakultät Informatik, Institut für Systemarchitektur, Professur Datenbanken
- Dirk HabichTechnische Universität Dresden, Fakultät Informatik, Institut für Systemarchitektur, Dresden Database Research Group
- Sebastian RichlyTechnische Universität Dresden, Fakultät Informatik, Institut für Systemarchitektur, Dresden Database Research Group
- Uwe Assmann
- Titel
- Using Cloud Technologies to Optimize Data-Intensive Service Applications
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-814435
- Konferenz
- IEEE 3rd International Conference on Cloud Computing. Miami, FL, 05.07-10.07.2010
- Quellenangabe
- Database and Expert Systems Applications. 8th International Conference, DEXA '97 : Proceedings
Erscheinungsort: New York, NY
Verlag: IEEE
Erscheinungsjahr: 2010
Seiten: 19-26
ISBN: 978-1-4244-8207-8 - Erstveröffentlichung
- 2010
- Abstract (EN)
- The role of data analytics increases in several application domains to cope with the large amount of captured data. Generally, data analytics are data-intensive processes, whose efficient execution is a challenging task. Each process consists of a collection of related structured activities, where huge data sets have to be exchanged between several loosely coupled services. The implementation of such processes in a service-oriented environment offers some advantages, but the efficient realization of data flows is difficult. Therefore, we use this paper to propose a novel SOA-aware approach with a special focus on the data flow. The tight interaction of new cloud technologies with SOA technologies enables us to optimize the execution of data-intensive service applications by reducing the data exchange tasks to a minimum. Fundamentally, our core concept to optimize the data flows is found in data clouds. Moreover, we can exploit our approach to derive efficient process execution strategies regarding different optimization objectives for the data flows.
- Andere Ausgabe
- Link zum Artikel, der zuerst in der IEEE Xplore Digital Library erschienen ist
DOI: https://doi.org/10.1109/CLOUD.2010.56 - Freie Schlagwörter (DE)
- Serviceanwendungen, datenintensiv, Datenspeicher (Cloud), Datenanalyse, Datenflussanalyse, Internet, Optimierung, Softwarearchitektur
- Freie Schlagwörter (EN)
- service applications, data-intensive, data cloud, data analysis, data flow analysis, Internet, optimisation, software architecture
- Klassifikation (DDC)
- 004
- 005
- Verlag
- IEEE, New York, NY
- Version / Begutachtungsstatus
- angenommene Version / Postprint / Autorenversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-814435
- Veröffentlichungsdatum Qucosa
- 01.11.2022
- Dokumenttyp
- Konferenzbeitrag
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis