Architecture of a multi-domain processing and storage engine
Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review
Contributors
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
Original language | English |
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Title of host publication | DATA 2016 - Proceedings of the 5th International Conference on Data Management Technologies and Applications |
Editors | Chiara Francalanci, Markus Helfert |
Publisher | SCITEPRESS - Science and Technology Publications |
Pages | 189-194 |
Number of pages | 6 |
ISBN (electronic) | 9789897581939 |
Publication status | Published - 2016 |
Peer-reviewed | Yes |
Externally published | Yes |
Conference
Title | 5th International Conference on Data Management Technologies and Applications, DATA 2016 |
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Duration | 24 - 26 July 2016 |
City | Lisbon |
Country | Portugal |
External IDs
ORCID | /0000-0001-8107-2775/work/142253535 |
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Keywords
ASJC Scopus subject areas
Keywords
- Code generation, Data types, Database architectures, Query languages