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PARLE
1993
13 years 11 months ago
On the Performance of Parallel Join Processing in Shared Nothing Database Systems
: Parallel database systems aim at providing high throughput for OLTP transactions as well as short response times for complex and data-intensive queries. Shared nothing systems re...
Robert Marek, Erhard Rahm
SIGMOD
2006
ACM
110views Database» more  SIGMOD 2006»
14 years 7 months ago
Supporting ad-hoc ranking aggregates
This paper presents a principled framework for efficient processing of ad-hoc top-k (ranking) aggregate queries, which provide the k groups with the highest aggregates as results....
Chengkai Li, Kevin Chen-Chuan Chang, Ihab F. Ilyas
EDBT
2006
ACM
143views Database» more  EDBT 2006»
14 years 7 months ago
XG: A Grid-Enabled Query Processing Engine
In [12] we introduce a novel architecture for data processing, based on a functional fusion between a data and a computation layer. In this demo we show how this architecture is le...
Radu Sion, Ramesh Natarajan, Inderpal Narang, Thom...
SIGMOD
2011
ACM
176views Database» more  SIGMOD 2011»
12 years 10 months ago
Sharing work in keyword search over databases
An important means of allowing non-expert end-users to pose ad hoc queries — whether over single databases or data integration systems — is through keyword search. Given a set...
Marie Jacob, Zachary G. Ives
VLDB
1995
ACM
214views Database» more  VLDB 1995»
13 years 11 months ago
Dynamic Multi-Resource Load Balancing in Parallel Database Systems
Parallel database systems have to support the effective parallelization of complex queries in multi-user mode, i.e. in combination with inter-query/inter-transaction parallelism. ...
Erhard Rahm, Robert Marek