Energy-Efficient In-Memory Database Computing
The efficient and flexible management of large datasets is one of the core requirements of modern business applications. Having access to consistent and up-to-date information is the foundation for operational, tactical, and strategic decision making. Within the last few years, the database communit...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | English |
| Published: |
Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden
2013
|
| Subjects: | |
| Online Access: | http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-115547 http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-115547 http://www.qucosa.de/fileadmin/data/qucosa/documents/11554/B05_Lehner_No1_2013-Copyright.pdf |
| Summary: | The efficient and flexible management of large datasets is one of the core requirements of modern business applications. Having access to consistent and up-to-date information is the foundation for operational, tactical, and strategic decision making. Within the last few years, the database community sparked a large number of extremely innovative research projects to push the envelope in the context of modern database system architectures. In this paper, we outline requirements and influencing factors to identify some of the hot research topics in database management systems. We argue that—even after 30 years of active database research—the time is right to rethink some of the core architectural principles and come up with novel approaches to meet the requirements of the next decades in data management. The sheer number of diverse and novel (e.g., scientific) application areas, the existence of modern hardware capabilities, and the need of large data centers to become more energy-efficient will be the drivers for database research in the years to come. |
|---|