Research Article
Performance-Adaptive Prediction-Based Transport Control over Dedicated Links
@INPROCEEDINGS{10.1007/978-3-642-10625-5_17, author={Xukang Lu and Qishi Wu and Nageswara Rao and Zongmin Wang}, title={Performance-Adaptive Prediction-Based Transport Control over Dedicated Links}, proceedings={Quality of Service in Heterogeneous Networks. 6th International ICST Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QShine 2009 and 3rd International Workshop on Advanced Architectures and Algorithms for Internet Delivery and Applications, AAA-IDEA 2009, Las Palmas, Gran Canaria, November 23-25, 2009 Proceedings}, proceedings_a={QSHINE}, year={2012}, month={10}, keywords={Transport control dedicated networks performance modeling}, doi={10.1007/978-3-642-10625-5_17} }- Xukang Lu
Qishi Wu
Nageswara Rao
Zongmin Wang
Year: 2012
Performance-Adaptive Prediction-Based Transport Control over Dedicated Links
QSHINE
Springer
DOI: 10.1007/978-3-642-10625-5_17
Abstract
Several research and production networks now provide multiple Gbps dedicated connections to meet the demands of large data transfers over wide-area networks. End users, however, have not been able to see corresponding increase in application goodputs mainly because (i) such rates have pushed the bottleneck from the network to the end system, and (ii) the traditional transport methods are not optimized for handling host dynamics. Due to the sharing with unknown background workloads, the data receiver oftentimes lacks sufficient system resources to process packets arriving from high-speed dedicated links, therefore leading to significant packet drops at the end system. We propose a rigorous design approach for a new class of transport protocols that explicitly account for the dynamics of the running environment to maximize application goodputs over dedicated connections. The control strategy of the proposed transport method combines two aspects: (i) the receiving bottleneck rate is predicted based on performance modeling, and (ii) the sending rate is stabilized at the estimated bottleneck rate based on stochastic approximation. We test the proposed method on a local dedicated connection and the experimental results illustrate its superior performance over existing methods.