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A generalized max-min rate allocation policy and its distributed implementation using the ABR flow control mechanism

机译:广义最大-最小速率分配策略及其使用ABR流控制机制的分布式实现

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We generalize the classical max-min rate allocation policy with the support of the minimum rate requirement and peak rate constraint for each connection. Since a centralized algorithm for the generalized max-min (GMM) rate allocation requires global information, which is difficult to maintain and manage in a large network, we develop a distributed protocol to achieve the GMM policy using the available bit rate (ABR) flow control mechanism. We give a proof that our distributed protocol converges to the GMM rate allocation through distributed and asynchronous iterations under any network configuration and any set of link distances.
机译:在每个连接的最小速率要求和峰值速率约束的支持下,我们对经典的最大-最小速率分配策略进行了概括。由于用于广义最大-最小(GMM)速率分配的集中式算法需要全局信息,因此在大型网络中难以维护和管理,因此我们开发了一种分布式协议,以使用可用比特率(ABR)流实现GMM策略。控制机制。我们提供了一个证明,即在任何网络配置和任何链路距离集下,我们的分布式协议都可以通过分布式和异步迭代收敛到GMM速率分配。

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