Adaptive workflow scheduling under resource allocation constraints and network dynamics

Workflow concepts are well suited for scenarios where many distributed entities work collaboratively together to achieve a common goal. Today, workflows are mostly used as computerized model for business processes executed in instances in commercial Workflow Management Systems. However, there are many other application domains where computersupported cooperative work can be captured and organized by workflows. In this paper, we investigate the task of scheduling workflows in self-organizing wireless networks for disaster scenarios. Most research work in the field of workflow scheduling has been driven by temporal and causality constraints. We present an adaptive scheduling algorithm that finds a suitable execution sequence for workflow activities by additionally considering resource allocation constraints and dynamic topology changes. Our approach utilizes a multi-stage distribution algorithm which we extend with techniques to cope with network dynamics.