Optimal Deployment of Geographically Distributed Workflow Engines on the Cloud

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Provided by: University of SRI BATNA
Topic: Cloud
Format: PDF
When orchestrating web service workflows, the geographical placement of the orchestration engine(s) can greatly affect workflow performance. Data may have to be transferred across long geographical distances, which in turn increases execution time and degrades the overall performance of a workflow. In this paper, the authors present a framework that, given a DAG-based workflow specification, computes the optimal Amazon EC2 cloud regions to deploy the orchestration engines and execute a workflow. The framework incorporates a constraint model that solves the workflow deployment problem, which is generated using an automated constraint modeling system.
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