Now showing items 1-4 of 4
Efficient in-memory indexing with generalized prefix trees
Datenbanksysteme für Business, Technologie und Web (BTW)
Efficient data structures for in-memory indexing gain in importance due to (1) the exponentially increasing amount of data, (2) the growing main-memory capacity, and (3) the gap between main-memory and CPU speed. In consequence, there are high performance demands for in-memory data structures. Such index structures are ...
Stream join processing on heterogeneous processors
Datenbanksysteme für Business, Technologie und Web (BTW) 2013 - Workshopband
The window-based stream join is an important operator in all data streaming systems. It has often high resource requirements so that many efficient sequential as well as parallel versions of it were proposed in the literature. The parallel stream join operators recently gain increasing interest because hardware is getting ...
Online bit flip detection for in-memory B-trees live!
Datenbanksysteme für Business, Technologie und Web (BTW 2015)
Hardware vendors constantly decrease the feature sizes of integrated circuits to obtain higher performance and energy efficiency. As a side-effect, integrated circuits - like CPUs and main memory - become more and more vulnerable to external influences and thus unreliable, which results in increasing numbers of (multi-) ...
Experimental evaluation of NUMA effects on database management systems
Datenbanksysteme für Business, Technologie und Web (BTW) 2025
NUMA systems with multiple CPUs and large main memories are common today. Consequently, database management systems (DBMSs) in data centers are deployed on NUMA systems. They serve a wide range of database use-cases, single large applications having high performance needs as well as many small applications that are ...