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Packet scheduling in input-queued switches with a speedup of less than two and scheduling algorithms for switches with a configuration overhead

机译:输入队列交换机中的数据包调度(速度小于2)和具有配置开销的交换机调度算法

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摘要

Input-queued switches and the solution of input/output contention by scheduling algorithms have been widely investigated. Most research has focused on switches for fixed-size packets. This contrasts with the variable size packets of IP networks. Previous research on fixed packet length has only focused on maximum weight matching algorithms. As maximum weight matching algorithms are computationally very complex, it is of interest to investigate less complex, but stable algorithms that take into account the variable packet size of data packets. In this paper, we investigate how the class of maximal matching algorithms deployed in switches with a speedup of less than two can be modified to take into account the varying packet sizes. Using a novel model for the dynamics of maximal matching algorithms, we show that modified maximal matching algorithms guarantee stability of the switch and establish bounds on the average delay experienced by a packet. In the second part of the paper, we apply the techniques developed for networks with variable packet size to the design of a scheduling algorithm for switches with large configuration overhead. We design a maximal weight matching algorithm for a switch with configuration overhead and determine the minimum speedup required to guarantee the stability of the switch.
机译:输入队列开关和通过调度算法解决输入/输出争用问题已被广泛研究。大多数研究都集中在固定大小数据包的交换机上。这与IP网络的可变大小数据包形成对比。先前对固定数据包长度的研究仅集中在最大权重匹配算法上。由于最大权重匹配算法在计算上非常复杂,因此有必要研究不太复杂但稳定的算法,该算法考虑了数据包的可变包大小。在本文中,我们研究了如何修改交换机中部署的最大匹配算法类别(其加速比小于2),以考虑到变化的数据包大小。使用最大匹配算法的动力学的新颖模型,我们表明,修改后的最大匹配算法可保证交换机的稳定性,并为数据包遇到的平均延迟确定范围。在本文的第二部分中,我们将针对可变数据包大小的网络开发的技术应用于具有较大配置开销的交换机的调度算法的设计。我们为带有配置开销的交换机设计了最大权重匹配算法,并确定了保证交换机稳定性所需的最小加速比。

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