Architecture of a multi-domain processing and storage engine
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
Abstract
In today's data-driven world, economy and research depend on the analysis of empirical datasets to guide decision making. These applications often encompass a rich variety of data types and special purpose processing models. We believe, the database system of the future will integrate flexible processing and storage of a variety of data types in a scalable and integrated end-to-end solution. In this paper, we propose a database system architecture that is designed from the core to support these goals. In the discussion we will especially focus on the multi-domain programming concept of the proposed architecture that exploits domain specific knowledge to guide compiler based optimization.
Details
Originalsprache | Englisch |
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Titel | DATA 2016 - Proceedings of the 5th International Conference on Data Management Technologies and Applications |
Redakteure/-innen | Chiara Francalanci, Markus Helfert |
Herausgeber (Verlag) | SCITEPRESS - Science and Technology Publications |
Seiten | 189-194 |
Seitenumfang | 6 |
ISBN (elektronisch) | 9789897581939 |
Publikationsstatus | Veröffentlicht - 2016 |
Peer-Review-Status | Ja |
Extern publiziert | Ja |
Konferenz
Titel | 5th International Conference on Data Management Technologies and Applications, DATA 2016 |
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Dauer | 24 - 26 Juli 2016 |
Stadt | Lisbon |
Land | Portugal |
Externe IDs
ORCID | /0000-0001-8107-2775/work/142253535 |
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Schlagworte
ASJC Scopus Sachgebiete
Schlagwörter
- Code generation, Data types, Database architectures, Query languages