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PROBABILISTIC OR DETERMINISTIC QoS GUARANTEES FOR FLOWS SCHEDULED WITH FP/DM

机译:FP / DM计划的流量的概率性或确定性QoS保证

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In this paper, we consider flows requiring quantitative end-to-end QoS guarantees. We focus more particularly on the end-to-end response times of flows and their probability of meeting their end-to-end deadlines. We assume that packets are scheduled according to their fixed priority, reflecting the importance degree of the flow. If on a node two packets have the same fixed priority, the packet with the smallest relative deadline on the node considered is scheduled first. Therefore, this non-preemptive scheduling, called FP/dm, takes into account the deadline constraint. The deterministic approach, based on a worst case analysis, may lead to a bound on the flow end-to-end response times that can be reached infrequently. A network dimensioning based on this bound can be expensive in terms of resources. That is why we are interested in probabilistic QoS guarantees. We then evaluate the benefits brought by fp/dm with regard to FP/FIFO. With the deterministic approach, we compare the worst case response times and the laxities of the flows considered. With the probabilistic approach, we compare the probabilities of meeting the deadlines for the flows considered as well as the p-schedulabibility of the flow set.
机译:在本文中,我们考虑需要定量的端到端QoS保证的流。我们更特别关注流量的端到端响应时间以及它们满足端到端期限的可能性。我们假设数据包是根据其固定优先级进行调度的,这反映了数据流的重要性。如果在一个节点上,两个数据包具有相同的固定优先级,则首先调度在所考虑的节点上具有最小相对期限的数据包。因此,这种称为FP / dm的非抢占式调度考虑了截止期限约束。基于最坏情况分析的确定性方法可能会导致流量端到端响应时间受到限制,而这种响应时间很少会达到。就资源而言,基于此限制的网络尺寸设置可能会很昂贵。这就是为什么我们对概率QoS保证感兴趣。然后,我们评估fp / dm对于FP / FIFO带来的好处。使用确定性方法,我们比较了最坏情况下的响应时间和所考虑的流量松弛。使用概率方法,我们比较了满足所考虑流的最后期限的概率以及流集的p可调度性。

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