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» Memory-Adaptive Scheduling for Large Query Execution
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ICDE
2006
IEEE
149views Database» more  ICDE 2006»
13 years 11 months ago
Seaweed: Distributed Scalable Ad Hoc Querying
Many emerging applications such as wide-area network management need to query large, structured, highly distributed datasets. Seaweed is a distributed scalable infrastructure for ...
Richard Mortier, Dushyanth Narayanan, Austin Donne...
ICDE
2009
IEEE
140views Database» more  ICDE 2009»
14 years 7 months ago
Predicting Multiple Metrics for Queries: Better Decisions Enabled by Machine Learning
One of the most challenging aspects of managing a very large data warehouse is identifying how queries will behave before they start executing. Yet knowing their performance charac...
Archana Ganapathi, Harumi A. Kuno, Umeshwar Dayal,...
DAWAK
2006
Springer
13 years 9 months ago
A Greedy Approach to Concurrent Processing of Frequent Itemset Queries
We consider the problem of concurrent execution of multiple frequent itemset queries. If such data mining queries operate on overlapping parts of the database, then their overall I...
Pawel Boinski, Marek Wojciechowski, Maciej Zakrzew...
EDBTW
2010
Springer
13 years 10 months ago
Declarative scheduling in highly scalable systems
In modern architectures based on Web Services or Cloud Computing, a very large number of user requests arrive concurrently and has to be scheduled for execution constrained by cor...
Christian Tilgner
PARLE
1993
13 years 9 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