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为了克服网络状态的不准确性给服务质量(QoS)路由机制带来的负面影响,针对延时约束最小代价(DCLC)路由问题,提出一种基于延时状态统计的分布式路由算法(DSS-DRA)。根据延时状态的稳定性程度预测路径状态的不准确性,并结合概率选路,为到来业务探测寻找满足其QoS要求的DCLC路径。仿真及其分析表明:DSS-DRA能够较好地容忍不准确的网络状态信息,在路由性能以及DCLC问题的解决能力方面具有较为明显的优势;同时,与泛洪探测等方法相比,可以较好地减小探测开销,而与最小延时等算法相比,当网络重载时,能够以略微增加的开销为代价换取较大的性能改进。
In order to overcome the negative impact of inaccuracy of network status on Quality of Service (QoS) routing mechanism, a distributed routing algorithm based on delay state statistics (DSS- DRA). According to the degree of stability of the delay state, the inaccuracy of the path state is predicted. Combined with the probability path selection, the DCLC path satisfying the QoS requirements is searched for the arrival of the service. Simulation and analysis show that DSS-DRA can tolerate inaccurate network state information better and has obvious advantages in routing performance and DCLC problem solving ability. Compared with flood detection methods, DSS-DRA can compare The detection overhead is well reduced, whereas with network reloading, larger performance improvements can be made at the expense of slightly more overhead when compared to algorithms such as minimum latency.