基于服务质量需求评价的分级接纳控制算法

Internet上各种应用流的飞速增加需要有效利用有限的网络资源的接纳控制策略.用户对应用流的服务质量(QoS)有多方面需求,而一般的接纳策略仅针对时延性、接纳公平性等单一方面进行研究,缺乏总体的考虑.对此,提出了一种基于服务质量(QoS)需求综合评价的分级接纳控制算法(QoSDEA-BCACA),并与基于经典的Measured Sum算法的预留带宽非分级的接纳算法、非预留带宽非分级的接纳算法进行了仿真比较.结果表明,该算法具有较高的总体接纳率,能较好地综合满足用户提出的QoS需求,提高了网络有限资源的利用率.

A Classified Admission Control Algorithm Based on QoS Demand Evaluation

The rapid increment of application flows on the Internet needs an admission control algorithm, which can efficiently make use of limited network resource. The QoS demands of application flows by users involve factors in many fields, but normal admission control algorithms only research on one factor, such as fairness, time delay and so on. They usually can't take these factors into account as a whole. Therefore, this paper puts forward a classified admission control algorithm based on QoS demand evaluation. The computer simulation show that the algorithm can completely meet the QoS demands of users as well as it can enhance the total admission rate, and improve the utilization rate of network resource.