Output details
11 - Computer Science and Informatics
University of Manchester
Article title
Adaptive workload allocation in query processing in autonomous heterogeneous environments
Type
D - Journal article
Title of journal
Distributed and Parallel Databases
Article number
-
Volume number
25
Issue number
3
First page of article
125
ISSN of journal
1573-7578
Year of publication
2009
URL
-
Number of additional authors
5
Additional information
<07> A key problem with the execution of parallel queries over large-scale autonomous and heterogeneous platforms is that the lack of accurate statistics at compile time and evolving runtime conditions may lead to sub-optimal performance of a statically engineered query plan. This paper is significant because it describes adaptive query processing strategies that can dynamically balance the load (for pipelined and partitioned parallelism) of the different parallel resources at runtime depending on runtime conditions.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
10
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
