Workflow adaptation as an autonomic computing problem
Lee, K., Sakellariou, R., Paton, N.W. and Fernandes, A.A.A. (2007) Workflow adaptation as an autonomic computing problem. In: 2nd Workshop on Workflows in Support of Large-Scale Science, 25 June, Monterey Bay California, USA
*Subscription may be required
Abstract
The performance of long running scientific workflows stands to benefit from adapting to changes in their environment. Autonomic Computing provides methodologies for managing run-time adaptations in managed systems. In this paper, we apply the monitoring, analysis, planning and execution (MAPE) model from autonomic computing to support the runtime modification of workflows with the aim of improving their performance. We systematically identify run-time adaptations and indicate how such behaviours can be captured using the MAPE model from the Autonomic Computing community. By characterising these as autonomic computing problems we make a proposal about how workflow adaptation can be achieved.
Item Type: | Conference Paper |
---|---|
Copyright: | © ACM |
URI: | http://researchrepository.murdoch.edu.au/id/eprint/9803 |
![]() |
Item Control Page |
Downloads
Downloads per month over past year