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Improving quality of service for next generation networks with active buffer management.

机译:通过主动缓冲区管理提高下一代网络的服务质量。

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Improving quality of service (QoS) of Internet has been being widely recognized as one of the critical issues for the next generation networks. Internet Engineering Task Force (IETF) recommends active buffer management for next generation networks to improve the quality of service. The goals of active buffer management are improving throughput, eliminating global synchronization, providing low delay service and ensuring fair bandwidth sharing. This thesis studies the problems in improving quality of service for next generation networks with active buffer management.; Random Early Detection (RED) is currently recommended active buffer management scheme by IETF. However, studies have shown that RED has problems of low throughput, large delay/jitter, poor time response, unfairness, and inducing instability of networks etc. Researches have also shown that the performance of RED depends on its configuration parameters.; This thesis proposes and develops new scheme, models, and algorithm to improve the throughput, delay, jitter, and time response performance of active buffer management, as well as to eliminate global synchronization phenomena. In details, an adaptive active buffer management scheme, called. Double Slope Random Early Detection (DSRED), is proposed to improve throughput and delay performance of active buffer management both in homogeneous and heterogeneous network environment. Models that based on self-similar TCP traffic characteristics to determine optimal parameters for active buffer management to eliminate global synchronization and to provide low delay service are developed. A new algorithm, called Low Pass Filter/Over Drop Avoidance (LPF/ODA), is proposed to improve time response of active buffer management.; The results show that the proposed schemes, algorithms, and models significantly improve the performance of active buffer management and therefore TCP performance. Researches in this thesis provide valuable insight into studying, developing, implementing, and deploying active buffer management schemes in next generation networks.
机译:互联网服务质量(QoS)的提高已被广泛认为是下一代网络的关键问题之一。 Internet工程任务组(IETF)建议对下一代网络进行主动缓冲区管理,以提高服务质量。主动缓冲区管理的目标是提高吞吐量,消除全局同步,提供低延迟服务并确保公平的带宽共享。本文研究了采用主动缓冲区管理提高下一代网络服务质量的问题。 IETF当前建议使用随机早期检测(RED)主动缓冲区管理方案。然而,研究表明,RED具有吞吐量低,延迟/抖动大,时间响应差,不公平以及导致网络不稳定等问题。研究还表明,RED的性能取决于其配置参数。本文提出并开发了新的方案,模型和算法,以提高主动缓冲区管理的吞吐量,延迟,抖动和时间响应性能,并消除全局同步现象。详细地,称为自适应主动缓冲器管理方案。提出了双斜率随机早期检测(DSRED),以提高同质和异构网络环境中主动缓冲区管理的吞吐量和延迟性能。开发了基于自相似TCP流量特性来确定用于主动缓冲区管理的最佳参数以消除全局同步并提供低延迟服务的模型。提出了一种新的算法,称为低通滤波器/避免掉落(LPF / ODA),以改善主动缓冲区管理的时间响应。结果表明,所提出的方案,算法和模型显着提高了主动缓冲区管理的性能,从而提高了TCP性能。本文的研究为研究,开发,实现和部署下一代网络中的主动缓冲区管理方案提供了宝贵的见识。

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