Dynamic workflow adaptation over adaptive infrastructures
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
Characterizing quality of resilience in scientific workflows
Proceedings of the 6th workshop on Workflows in support of large-scale science
Enforcing QoS in scientific workflow systems enacted over Cloud infrastructures
Journal of Computer and System Sciences
Automating Data-Throttling Analysis for Data-Intensive Workflows
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
Agent-based organisational governance of services
Multiagent and Grid Systems - Development of service-based and agent-based computing systems
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Scientific workflow systems often operate in highly unreliable, heterogeneous and dynamic environments, and have accordingly incorporated different fault tolerance techniques. We propose an exception-handling mechanism, based on techniques adopted in programming languages, for modifying at run-time the structure of a workflow. In contrast to other proposals that achieve the required flexibility by means of the infrastructure, our proposal expresses the exception-handling mechanism within the workflow language—primarily as two exception-handling patterns that are exclusively based on the Reference Nets-within-Nets formalism (a specific type of Petri nets). When an exception is detected, a workflow in our approach can be re-written (replaced), based on the particular failure condition that has been detected. This enables workflow users to have better control and understanding of the behaviour of their workflow without having to be aware of the underlying infrastructure. Copyright © 2009 John Wiley & Sons, Ltd.