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A Probabilistic Scheduling Algorithm for Providing Proportional Delay Differentiation in Content-based Online Charging System

机译:一种概率调度算法在基于内容的在线充电系统中提供比例延迟分化

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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是推动支持基于先进的内容的计费机制,其独特的特性要求OCS(在线计费系统)基于不同内容提供相对差异化服务。 OCS可以由PDD(比例延迟分化)结构建模,并且它旨在维持不同类别的预先确定的均值系统响应时间延迟比。本文提出了一种新的请求调度算法。基本思想是,从所有优先概率选择了来自所有服务队列的所有请求,该概率基于系统队列长度,请求到达率以及预测延迟差分参数。实验结果表明,当请求服务延迟增加并相互变化时,这种新算法显着优于一些其他传统的PDD调度。此外,它可以有效地满足本文提出的6个QoS要求。

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