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A probabilistic scheduling algorithm for providing Proportional Delay Differentiation in content-based online charging system

机译:在基于内容的在线计费系统中提供比例延迟差异的概率调度算法

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摘要

The emergence of new data services in 3G networks is driving the support of advanced content-based billing mechanisms whose unique characteristics require that the OCS (Online Charging System) provide relative differentiated services based on different contents. The OCS can be modeled by the PDD (Proportional Delay Differentiation) structure and it aims to maintain the prespecified mean system response-time delay ratios between different classes of requests. A novel request scheduling algorithm is proposed in this paper. The basic idea is that one of the requests from all classes of service queues is chosen with some priority probability which is based on the system queue-length, the request arrival rate, and the preassigned delay differentiation parameter. The experimental results show that this new algorithm significantly outperforms some other traditional PDD scheduling ones when request service delays increase and vary greatly from each other. Furthermore, it can efficiently meet 6 QoS requirements proposed in this paper.
机译:3G网络中新数据服务的出现推动了对基于内容的高级计费机制的支持,这些机制的独特特征要求OCS(在线计费系统)基于不同的内容提供相对差异化的服务。 OCS可以通过PDD(比例延迟微分)结构建模,其目的是在不同类别的请求之间维持预先指定的平均系统响应时间延迟比。提出了一种新颖的请求调度算法。基本思想是,根据系统队列长度,请求到达率和预先分配的延迟微分参数,以一定优先级概率选择来自所有服务队列类别的请求之一。实验结果表明,当请求服务延迟增加并且彼此之间相差很大时,该新算法明显优于其他一些传统的PDD调度算法。此外,它可以有效满足本文提出的6个QoS要求。

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