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The computational workload of some real-time applications varies significantly during runtime, which makes the task scheduling and power management a challenge. One of the major influences to the workload of an application is the selection of conditional branches which may activate or deactivate a large set of operations. Focusing on real-time applications with variable workload which is due to random branch selection, this paper presents a framework of task mapping, scheduling and dynamicdoi:10.1109/date.2008.4484751 dblp:conf/date/MalaniMQW08 fatcat:ajrhhmeexbgvdoqb4uhckqxuju