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Matching From the First Iteration: An Iterative Switching Algorithm for an Input Queued Switch

机译:从第一个迭代开始进行匹配:输入排队开关的迭代开关算法

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An iterative switching algorithm for an input queued switch consists of a number of iterations in every time step, where each iteration computes a disjoint matching. If input is matched to output in a given iteration, a packet (if any) is forwarded from to in the corresponding time step. Most of the iterative switching algorithms use a request grant accept (RGA) arbitration type (e.g. iSLIP). Unfortunately, due to this particular type of arbitration, the matching computed in one iteration is not necessarily maximal (more input and output ports can still be matched). This is exactly why multiple iterations are needed. However, multiple iterations make the time step larger and reduce the speed of the switch. We present a new iterative switching algorithm (based on the RGA arbitration) called with the underlying assumption that the number of iterations is possibly limited to one, hence reducing the time step and allowing the switch to run at a higher speed. We prove that achieves throughput and delay guarantees with a speedup of 2 and one iteration under a constant burst traffic model, which makes as good as any maximal matching algorithm in the theoretical sense. We also show by simulation that achieves relatively high throughput in practice under uniform and non-uniform traffic patterns with one iteration and no speedup.
机译:输入排队交换机的迭代切换算法在每个时间步长中包含多个迭代,其中每个迭代都会计算不相交的匹配。如果输入在给定的迭代中与输出匹配,则在相应的时间步中将数据包(如果有)从转发到。大多数迭代交换算法都使用请求授权接受(RGA)仲裁类型(例如iSLIP)。不幸的是,由于这种特殊的仲裁类型,一次迭代中计算出的匹配不一定是最大的(仍然可以匹配更多的输入和输出端口)。这就是为什么需要多次迭代的原因。但是,多次迭代会使时间步长变大,并降低了切换速度。我们提出了一种新的迭代切换算法(基于RGA仲裁),其基本假设是迭代次数可能限制为一个,从而减少了时间步长并允许开关以更高的速度运行。我们证明了在恒定突发流量模型下以2倍的加速和1次迭代实现了吞吐量和延迟保证,这在理论上与任何最大匹配算法一样好。我们还通过仿真显示,在统一和非均匀流量模式下,一次迭代且没有加速,在实践中实现了相对较高的吞吐量。

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