Stability and Delay Bounds in Heterogeneous Networks of Aggregate Schedulers

G. Rizzo, J. Boudec
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引用次数: 10

Abstract

Aggregate scheduling is one of the most promising solutions to the issue of scalability in networks, like DiffServ networks and high speed switches, where hard QoS guarantees are required. For networks of FIFO aggregate schedulers, the main existing sufficient conditions for stability (the possibility to derive bounds to delay and backlog at each node) are of little practical utility, as they are either relative to specific topologies, or based on strong ATM-like assumptions on the network (the so-called "RIN" result), or they imply an extremely low node utilization. We use a deterministic approach to this problem. We identify a nonlinear operator on a vector space of finite (but large) dimension, and we derive a first sufficient condition for stability, based on the super-additive closure of this operator. Second, we use different upper bounds of this operator to obtain practical results. We find new sufficient conditions for stability, valid in an heterogeneous environment and without any of the restrictions of existing results. We present a polynomial time algorithm to test our sufficient conditions for stability. We show that with leaky bucket constrained flows the inner bound to the stability region derived with our algorithm is always larger than the one determined by all existing results. We prove that all the main existing results can be derived as special cases of our results. We also present a method to compute delay bounds in practical cases.
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异构聚合调度网络的稳定性和延迟界
对于需要硬QoS保证的网络(如DiffServ网络和高速交换机)中的可伸缩性问题,聚合调度是最有前途的解决方案之一。对于FIFO聚合调度器的网络,现有的稳定性的主要充分条件(在每个节点上推导延迟和积压边界的可能性)几乎没有实际效用,因为它们要么相对于特定的拓扑结构,要么基于网络上类似atm的强假设(所谓的“RIN”结果),要么意味着极低的节点利用率。我们用确定性的方法来解决这个问题。在有限(但大)维的向量空间上,我们确定了一个非线性算子,并基于该算子的超加性闭包导出了稳定性的第一个充分条件。其次,我们使用该算子的不同上界来获得实际结果。我们发现新的稳定性充分条件,在异质环境中有效,不受现有结果的任何限制。我们提出了一个多项式时间算法来检验稳定性的充分条件。结果表明,对于有漏桶约束的流动,用该算法导出的稳定区域的内边界总是大于所有现有结果确定的内边界。我们证明了现有的所有主要结果都可以作为我们的结果的特殊情况导出。在实际情况下,我们也给出了一种计算延迟界的方法。
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