Abstract
The available bandwidth is a crucial metric of networks performance which is applied in congestion control, route selection, traffic analysis and QoS management. PathChirp is a well-known tool to estimate available bandwidth based on an approach of self-induced congestion, which exponentially increases the rate of probing packets in each packet train. But the inappropriate gaps of probing rates often result in a large deviation of estimated available bandwidth. In order to solve this problem, we propose HybChirp, an active probing tool which uses linearly spaced probing packets lin-chirps and exponentially spaced probing packets exp-chirps in combination. HybChirp improves PathChirp by adopting the hybrid of lin-chirps and exp-chirps, while inherits the advantages of PathChirp such as the short convergence time and low overhead. The NS-2 simulation results have shown that HybChirp outperforms PathChirp and Pathload in terms of accuracy, overhead, convergence time and adaptivity.
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