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Towards an Erlang formula for multiclass networks

机译:面向多类网络的Erlang公式

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Consider a multiclass stochastic network with state-dependent service rates and arrival rates describing bandwidth-sharing mechanisms as well as admission control and/or load balancing schemes. Given Poisson arrival and exponential service requirements, the number of customers in the network evolves as a multidimensional birth-and-death process on a finite subset of N~k. We assume that the death (I.e., service) rates and the birth rates depending on the whole state of the system satisfy a local balance condition. This makes the resulting network a Whittle network, and the stochastic process describing the state of the network is reversible with an explicit stationary distribution that is in fact insensitive to the service time distribution. Given routing constraints, we are interested in the optimal performance of such networks. We first construct bounds for generic performance criteria that can be evaluated using recursive procedures, these bounds being attained in the case of a unique arrival process. We then study the case of several arrival processes, focusing in particular on the instance with admission control only. Building on convexity properties, we characterize the optimal policy, and give criteria on the service rates for which our bounds are again attained.
机译:考虑一个多类随机网络,其状态相关的服务速率和到达速率描述了带宽共享机制以及准入控制和/或负载平衡方案。给定泊松到达和指数服务需求,网络中的客户数量随着Nk有限子集上的多维生死过程而演变。我们假设取决于系统整体状态的死亡率(即服务水平)和出生率满足局部平衡条件。这使生成的网络成为Whittle网络,并且描述网络状态的随机过程可以通过明确的固定分布来逆转,而该分布实际上对服务时间分布不敏感。给定路由限制,我们对此类网络的最佳性能感兴趣。我们首先构造通用性能标准的界限,可以使用递归程序对其进行评估,这些界限是在唯一到达过程的情况下达到的。然后,我们研究几个到达过程的情况,特别是仅针对具有准入控制的实例。在凸性的基础上,我们描述了最优策略,并给出了可以再次达到界限的服务费率标准。

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