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Taxonomy-driven adaptation of multi-layer applications using templates
Date
2010
Abstract
Current adaptation approaches mainly work in isolation and cannot be easily integrated to tackle complex adaptation scenarios. The few existing cross-layer adaptation techniques are somewhat inflexible because the adaptation process is predefined and static. In this paper we propose a methodology for the dynamic and flexible adaptation of multi-layer applications. We use events to trigger the process of matching adaptation templates, which expose adaptation logic as BPEL processes. The matching process employs taxonomies of adaptation mismatches to select adaptation templates based on the degree of match between events and adaptation mismatches. We provide support for cross-layer adaptation by allowing templates to be composed either directly, through invocations of WSDL operations or indirectly, through events.
Supervisor
Description
peer-reviewed
Publisher
IEEE Computer Society
Citation
SASO 2010, Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems;pp. 213 - 222
Files
Funding code
Funding Information
Science Foundation Ireland (SFI), ALIVE project
Sustainable Development Goals
External Link
Type
Meetings and Proceedings
Rights
https://creativecommons.org/licenses/by-nc-sa/1.0/
