Output details
11 - Computer Science and Informatics
University of the West of England, Bristol
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Article title
Adapting scientific workflow structures using multi-objective optimization strategies
Type
D - Journal article
Title of journal
ACM Transactions on Autonomous and Adaptive Systems
Article number
4
Volume number
8
Issue number
1
First page of article
1
ISSN of journal
15564665
Year of publication
2013
Number of additional authors
3
Additional information
<2> Grid Computing. The work arose from the PhD thesis of Irfan Habib; it demonstrates the feasibility of termination criteria with a multi-objective approach in scientific workflow optimisation. In this paper, the approach is shown to provide both compute and data optimisation. It has been used in neuGRID to improve the throughput of the CIVET workflow in the measurement of brain cortical thicknesses. Although demonstrated only in the context of the neuGRID project (Name & contact available) the principles can be readily adapted across all forms of scientific workflows.
Interdisciplinary
-
Cross-referral requested
-
Research group
4 - Centre for Complex Cooperative Systems
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
