多媒体数据平台中的流量调度器的模型设计

Flow Scheduler Model Design of Multimedia Data Platform

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。

Accurate scheduling of flow on the multimedia data platform can alleviate the system congestion at data burst time. When a large number of data traffic burst, the multimedia data platform will face a large transmission pressure of flow data, it will produce serious data congestion, and take up a lot of network bandwidth, which will result in too large consumption of network bandwidth. Traditional distributed algorithm for multimedia data platform is to make end to end bandwidth allocation, but when the bandwidth is occupied, it is locked and cannot be assigned, which leads poor flow scheduling performance on multimedia data platform. The flow scheduler model for flow scheduling on the multimedia data platform using the weighted queue is proposed. The scheduler model consists of four function modules： flow detection module, flow management module, flow scheduling module, and flow statistics module of multimedia data. Through the flow scheduling method of weighted queue, in a certain period of time, in order to re- duce and prevent network congestion, a comprehensive analysis of the flow scheduling process is performed, and the critical code of scheduling data is given by scheduler model. Simulation results show that the designed scheduler model can make full use of bandwidth resources and avoid congestion in the network, and the flow commissioning on the platform can been optimized.