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An incentive-based distributed mechanism for scheduling divisible loads in tree networks

机译:基于激励的分布式树状网络调度分布式机制

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The underlying assumption of Divisible Load Scheduling (DLS) theory is that the processors composing the network are obedient, i.e., they do not "cheat" the scheduling algorithm. This assumption is unrealistic if the processors are owned by autonomous, self-interested organizations that have no a priori motivation for cooperation and they will manipulate the algorithm if it is beneficial to do so. In this paper, we address this issue by designing a distributed mechanism for scheduling divisible loads in tree networks, called DLS-T, which provides incentives to processors for reporting their true processing capacity and executing their assigned load at full processing capacity. We prove that the DLS-T mechanism computes the optimal allocation in an ex post Nash equilibrium. Finally, we simulate and study the mechanism under various network structures and processor parameters.
机译:可分负载调度(DLS)理论的基本假设是组成网络的处理器是服从的,即它们不会“欺骗”调度算法。如果处理器由没有先验合作动机的自治的,自利的组织所拥有,那么这种假设是不现实的,并且如果这样做有益,他们将操纵算法。在本文中,我们通过设计一种称为DLS-T的分布式机制来调度树状网络中的可分割负载,从而解决了这个问题,该机制激励处理器报告其实际处理能力并在完全处理能力下执行分配的负载。我们证明DLS-T机制可以在事后Nash均衡中计算最优分配。最后,我们对各种网络结构和处理器参数下的机制进行了仿真和研究。

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