为提高突发事件下城市轨道列车时刻表编制工作的效率,本文基于地铁运营商常用的调度手段,采取不同的调整策略,应用SQL Server 10.0数据库和VC++2013对列车时刻表进行调整。以北京地铁1号线列车时刻表为例,在部分区间完全封闭的情况下,...为提高突发事件下城市轨道列车时刻表编制工作的效率,本文基于地铁运营商常用的调度手段,采取不同的调整策略,应用SQL Server 10.0数据库和VC++2013对列车时刻表进行调整。以北京地铁1号线列车时刻表为例,在部分区间完全封闭的情况下,实现开行小交路的仿真方案。结果表明,本文提出的调整策略使突发事件下的时刻表编制工作更高效、列车运行调整更便捷,同时减小了与突发事件下实际调度手段的偏差,在应用中更容易实现。展开更多
The concurrent presence of different types of traffic in multimedia applications might aggravate a burden on the underlying data network, which is bound to affect the transmission quality of the specified traffic. Rec...The concurrent presence of different types of traffic in multimedia applications might aggravate a burden on the underlying data network, which is bound to affect the transmission quality of the specified traffic. Recently, several proposals for fulfilling the quality of service(QoS) guarantees have been presented. However, they can only support coarse-grained QoS with no guarantee of throughput, jitter, delay or loss rate for different applications. To address these more challenging problems, an adaptive scheduling algorithm for Parallel data Processing with Multiple Feedback(PPMF) queues based on software defined networks(SDN) is proposed in this paper, which can guarantee the quality of service of high priority traffic in multimedia applications. PPMF combines the queue bandwidth feedback mechanism to realise the automatic adjustment of the queue bandwidth according to the priority of the packet and network conditions, which can effectively solve the problem of network congestion that has been experienced by some queues for a long time. Experimental results show PPMF significantly outperforms other existing scheduling approaches in achieving 35--80% improvement on average time delay by adjusting the bandwidth adaptively, thus ensuring the transmission quality of the specified traffic and avoiding effectively network congestion.展开更多
文摘为提高突发事件下城市轨道列车时刻表编制工作的效率,本文基于地铁运营商常用的调度手段,采取不同的调整策略,应用SQL Server 10.0数据库和VC++2013对列车时刻表进行调整。以北京地铁1号线列车时刻表为例,在部分区间完全封闭的情况下,实现开行小交路的仿真方案。结果表明,本文提出的调整策略使突发事件下的时刻表编制工作更高效、列车运行调整更便捷,同时减小了与突发事件下实际调度手段的偏差,在应用中更容易实现。
基金supported by National Key Basic Research Program of China(973 Program)under grant no.2012CB315802National Natural Science Foundation of China under grant no.61671081 and no.61132001Prospective Research on Future Networks of Jiangsu Future Networks Innovation Institute under grant no.BY2013095-4-01
文摘The concurrent presence of different types of traffic in multimedia applications might aggravate a burden on the underlying data network, which is bound to affect the transmission quality of the specified traffic. Recently, several proposals for fulfilling the quality of service(QoS) guarantees have been presented. However, they can only support coarse-grained QoS with no guarantee of throughput, jitter, delay or loss rate for different applications. To address these more challenging problems, an adaptive scheduling algorithm for Parallel data Processing with Multiple Feedback(PPMF) queues based on software defined networks(SDN) is proposed in this paper, which can guarantee the quality of service of high priority traffic in multimedia applications. PPMF combines the queue bandwidth feedback mechanism to realise the automatic adjustment of the queue bandwidth according to the priority of the packet and network conditions, which can effectively solve the problem of network congestion that has been experienced by some queues for a long time. Experimental results show PPMF significantly outperforms other existing scheduling approaches in achieving 35--80% improvement on average time delay by adjusting the bandwidth adaptively, thus ensuring the transmission quality of the specified traffic and avoiding effectively network congestion.
