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Grids and clouds are utilized for the execution of applications composed of dependent tasks, usually modeled as workflows. To efficiently run the application, a scheduler must distribute the components of the workflow in the available resources using information about duration of tasks and communication between tasks in the workflow. However, such information may be subject to imprecisions, thus not reflecting what is observed during the execution. In this paper we propose a simple way ofdoi:10.1145/2405136.2405144 dblp:conf/middleware/BittencourtSM12 fatcat:vri4tsiklfd5rkxzue5iw2pgaa