在DiffServ框架上处理HTTP流

S. Alcaraz, K. Gilly, C. Juiz, R. Puigjaner
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引用次数: 1

摘要

DiffServ体系结构已被广泛用于在Internet上实现QoS。考虑到网络通信是互联网社区中扩展最多的协议,已经提出了许多解决方案来为这种类型的服务提供一定的QoS。传统上,DiffServ架构考虑了双色标记,以便区分高优先级和低优先级。我们研究了对蛛网流的特殊处理。网络的流量模式非常接近互联网上的鼠象分布流。为了确保短流的QoS,我们将流分为短类和长类,但我们试图为一些长流实现一定的QoS。我们将进入的流分为老鼠、杂交动物和大象,每种流使用三种颜色的标记,并在DiffServ系统中使用三队列系统。首先,我们需要检测带宽中的间隙。有了这些差距,我们就会寻找可以提升的候选流(混合)。这些混合流将被发送到高优先级队列。接下来,我们寻找极大降低网络流量性能的长流量(大象)。大象流将在低优先级队列上发送,以避免提升这些流,并允许提升其他目标流。对DiffServ系统的分类计算了一些随机函数。最后,提出了一种与传输延迟均值和丢包率相关的改进网络流量全局性能的PLF算法。我们使用ns2网络模拟器工具与PackMime-HTTP对象进行仿真,生成真实的合成网络流量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Handling HTTP flows over a DiffServ framework
DiffServ architecture has been widely used to achieve QoS over the Internet. Taking into account that web traffic is the most extended protocol over the Internet community, many solutions have been proposed to supply certain QoS to this type of service. Traditionally, DiffServ architectures have considered two-color markings in order to distinguish between high and low priorities. We study the special treatment for web flows. The web traffic pattern is very close to mouse and elephant distribution flows in Internet. We differentiate flows into short and long classes in order to ensure QoS for short flows, but we try to achieve certain QoS for some long flows. We classify the incoming flows into mice, hybrids and elephants, using three-color markings for each kind of flow, and a three-queue system at the DiffServ system. First of all, we need to detect the gaps in the bandwidth. With these gaps we look for candidate flows to be promoted (hybrids). These hybrid flows will be sent to high priority queue. Next we look for extremely long flows (elephants) which reduce drastically the web traffic performance. Elephant flows will be sent over the low priority queue in order to avoid the promotion of these flows and permit other aspirants to be promoted. Some stochastic functions are computed for the classification at the DiffServ system. Finally, the PLF algorithm is proposed which improves the global performance of the web traffic related with mean of transmission latency and packet loss. We have used ns2 network simulator tool for the simulation with the PackMime-HTTP object for the realistic synthetic web traffic generation.
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