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Finite buffer queue with generalized processor sharing and heavy-tailed input processes

机译:具有通用处理器共享和重尾输入流程的有限缓冲区队列

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We consider a set of N fluid On-Off flows that share a common server of capacity c and a finite buffer B. The server capacity is allocated using the generalized processor sharing scheduling discipline. Each flow has a minimum service rate guarantee that exceeds its long-term average demand ρ_i. The buffer sharing is unrestricted as long as there is available space. If the buffer is full, the necessary amount of fluid from the most demanding flows is discarded. When On periods are heavy-tailed, we show that the loss rate of a particular flow i is asymptotically equal to the loss rate in a reduced system with capacity c ― ∑_(j≠i) ρ_j and buffer B, where this flow is served in isolation. In particular, the system behaves as if it had N times bigger buffer. This new insight on buffer multiplexing gain offers an additional tradeoff in distributing buffers between core and edge switching elements.
机译:我们考虑一组共享一个容量为c的公共服务器和一个有限缓冲区B的N个流体开-关流。服务器容量是使用广义处理器共享调度原则分配的。每个流的最小服务速率保证都超过其长期平均需求ρ_i。只要有可用空间,缓冲区共享不受限制。如果缓冲区已满,则将丢弃最苛刻的流量所需的流体量。当On周期为重尾时,我们表明特定流i的损失率渐近等于容量为c ― ∑_(j≠i)ρ_j且容量为B的简化系统的损失率孤立地服务。特别是,系统的行为就像它有N倍大的缓冲区。对缓冲区多路复用增益的这一新见解在内核和边缘交换元件之间分配缓冲区方面提供了一个额外的权衡。

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