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Aggregate policing applying max-min fairness for each data source based on probabilistic filtering

机译:基于概率过滤为每个数据源应用最大-最小公平性的聚合策略

摘要

In one embodiment, a method comprises calculating a corresponding data packet arrival rate for each of a plurality of data sources supplying data packets destined for a prescribed destination, the prescribed destination within a machine and the prescribed destination having a bandwidth capacity; calculating a guaranteed shared bandwidth rate for each data source based on assigning a corresponding selected portion of the bandwidth capacity relative to the corresponding data packet arrival rate; selectively passing each data packet from the corresponding data source as a passed data packet, or dropping the corresponding data packet, according to a calculated probability that the corresponding data packet arrival rate does not exceed the corresponding guaranteed shared bandwidth rate; and selectively filtering the supply of aggregated passed data packets, aggregated only from among the passed data packets supplied by the data sources, to the prescribed destination according to the bandwidth capacity of the prescribed destination.
机译:在一个实施例中,一种方法包括:针对多个数据源中的每个数据源计算对应的数据包到达率,所述多个数据源中提供目的地为指定目的地,机器内的指定目的地和具有带宽容量的指定目的地的数据包;基于相对于对应的数据包到达率分配带宽容量的对应选择部分,为每个数据源计算保证的共享带宽率;根据计算出的相应数据包到达率不超过相应的保证共享带宽率的概率,有选择地将来自相应数据源的每个数据包作为传递的数据包传递,或丢弃相应的数据包;根据指定目的地的带宽容量,选择性地过滤仅由数据源提供的传递数据包中的聚合后的传递数据包到指定目的地的供应。

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