Output details
11 - Computer Science and Informatics
Manchester Metropolitan University
Article title
Performance database: capturing data for optimizing distributed streaming workflows
Type
D - Journal article
Title of journal
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Article number
-
Volume number
369
Issue number
1949
First page of article
3268
ISSN of journal
1471-2962
Year of publication
2011
URL
-
Number of additional authors
5
Additional information
<12>Work (funded by EU ADMIRE project, FP7 ICT 215024) proposes a systematic way of optimising large-scale scientific workflows. This will have significant impact on data-intensive scientific projects that make use of large-scale collection. We develop a novel schema for performance databases, which can then be used to optimise workflows. Our work has been applied in other EU FP7 projects (such as the VERCE project (283543) for earthquakes and seismology). Approach was evaluated through real use cases to test our hypotheses.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
3
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
