FlowMate: Scalable On-line Flow Partitioning using Shared Bottleneck Inference

Abstract

We design and implement an efficient on-line approach, FlowMate, for partitioning flows (connections) emanating from a busy server, according to shared bottlenecks. The flow partitions can be periodically input to load balancing, congestion coordination, aggregation, admission control, or pricing modules. FlowMate uses in-band (passive) packet end-to-end… (More)

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