Human Activity Modeling and Barabasi's Queueing Systems

It has been shown by A.-L. Barabasi that the priority based scheduling rules in single stage queuing systems (QS) generates fat tail behavior for the tasks waiting time distributions (WTD). Such fat tails are due to the waiting times of very low priority tasks which stay un-served almost forever as the task priority indices (PI) are " frozen in time " (i.e. a task priority is assigned once for all to each incoming task). Relaxing the " frozen in time " assumption, this paper studies the new dynamic behavior expected when the priority of each incoming tasks is time-dependent (i.e. " aging mechanisms " are allowed). For two class of models, namely 1) a population type model with an age structure and 2) a QS with deadlines assigned to the incoming tasks which is operated under the " earliest-deadline-first " policy, we are able to analytically extract some relevant characteristics of the the tasks waiting time distribution. As the aging mechanism ultimately assign high priority to any long waiting tasks, fat tails in the WTD cannot find their origin in the scheduling rule alone thus showing a fundamental difference between the present and the A.-L. Barabàsi's class of models. Keywords : queueing systems-waiting time distributions-fat tails distributions priority indices dynamics-" earliest-deadline first " scheduling-tasks with deadlines-age structured population models.