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Jain, A. et al. FireWorks: a dynamic workflow system designed for high-throughput applications.
Exception handling plays a key role in dynamic workflow management that enables streamlined business processes.
This paper proposes an approach to facilitate efficient dynamic workflow change by minimising repetitive execution of finished workflow nodes.
To address these issues, this paper proposes a runtime, resource-aware architecture that combines resource monitoring with dynamic workflow orchestration to mediate resource contention within the orchestration environment.
Two features of this dynamic workflow system make it suitable for the use of quasi-intelligent agents: (a) workflow processes need not be fully specified, and so can be non-prescriptive in approach, and (b) a job can be modified independently of the process of which it is an instance, and so some participants may have permissions to change its course.
Example of dynamic workflow composition is that used in Turkomatic [55].
Similar(53)
Experimental study on TPC-W and synthetic workflow shows that our dynamic workflow-based resource allocation scheme is much more efficient in enhancing the overall performance of composite services than current resource allocation schemes do.
The management of dynamic workflows needs adequate formal models and support tools to handle in a safe way changes occurring during workflow operation.
Application structuring studies can be broadly divided into static workflows and dynamic workflows.
The implementation leverages a multi agent system suited for industrial applications integrated in a SOA environment capable of dynamic BPEL workflow generation and execution.
In this paper, we intend to study middleware components of the remote sensing Grid – the dynamic Grid workflow based on the remote sensing quantitative retrieval application on Grid platform.
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