多媒体数据平台中的流量调度器的模型设计

发布时间：2018-06-21 06:53

本文选题：多媒体数据平台 + 流量调度器　；参考：《计算机仿真》2016年11期

【摘要】：对多媒体数据平台流量进行精确调度,能缓解数据突发时刻的系统拥塞。当大量数据流量突发时,多媒体数据平台将面临较大的流量数据传输压力,产生严重的数据拥塞,占用大量的网络带宽,造成网络宽带消耗过大。传统的分布式算法是对多媒体数据平台中端到端的带宽进行分配,当带宽被占用时处于锁定状态不能进行分配,导致多媒体数据平台中的流量调度性能差的问题。提出一种采用加权队列的流量调度的多媒体数据平台流量调度器模型,调度器模型由流量检测模块、流量管理模块、流量调度模块、多媒体数据流量统计模块四大功能模块。通过加权队列的流量调度方法,在一定的时间内以降低和预防网络拥塞为目标,全面分析了流量调度过程,给出调度器模型调度数据的关键代码。仿真结果表明,所设计调度器模型能够充分利用带宽资源,防止网络拥塞,使平台流量调试得到优化。
[Abstract]:Accurate scheduling of multimedia data platform traffic can alleviate system congestion at data burst time. When a large number of data flows burst, the multimedia data platform will face a greater pressure of traffic data transmission, resulting in serious data congestion, taking up a large amount of network bandwidth, resulting in excessive consumption of network broadband. The traditional distributed algorithm is to allocate end-to-end bandwidth in multimedia data platform. When bandwidth is occupied, it can not be allocated in locked state, which leads to poor performance of traffic scheduling in multimedia data platform. A traffic scheduler model of multimedia data platform based on weighted queue is proposed. The scheduler model consists of four modules: flow detection module, traffic management module, traffic scheduling module and multimedia data traffic statistics module. Through the traffic scheduling method of weighted queue, with the aim of reducing and preventing network congestion in a certain time, the traffic scheduling process is comprehensively analyzed, and the key code of scheduler model scheduling data is given. Simulation results show that the designed scheduler model can make full use of bandwidth resources, prevent network congestion and optimize platform traffic debugging.
【作者单位】：聊城大学东昌学院;
【基金】：山东省高等学校科技计划课题(J15LN78)
【分类号】：TP393.06

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