文献类型：期刊文献

中文题名：多媒体海量数据的合理调度方法的仿真

英文题名：The Reasonable Scheduling Method of Multimedia Data Simulation

作者：陈文庆[1]

机构：[1]中国劳动关系学院计算机应用技术教研室

年份：2015

卷号：32

期号：10

起止页码：172

中文期刊名：微电子学与计算机

外文期刊名：Microelectronics & Computer

收录：CSTPCD、、BDHX2014、BDHX、CSCD_E2015_2016、CSCD

语种：中文

中文关键词：多媒体;海量数据;调度

外文关键词：multimedia huge amounts of data scheduling

中文摘要：提出一种基于改进粒子群算法的多媒体海量数据合理调度方法,依据优先级对请求多媒体数据片集合进行确定,将调度时间看作是调度策略的目标参数,对最优节点集进行求解,使得调度时间达到最短.分析了一般粒子群算法,引入压缩因子对学习因子的性能进行优化,给出改进粒子群算法个体适应度评价函数,通过多媒体数据片优先级的大小选择优先级最高的多媒体数据片,将其添加至调度窗口.利用改进粒子群算法获取最优节点集合,将其看作是一次最优调度策略,从而实现多媒体海量数据的合理调度.仿真实验结果表明,所提方法可充分利用节点带宽资源,大大减少了多媒体的启动延迟与服务器负载,加强了系统的整体性能.

外文摘要：Puts forward an improved particle swarm optimization （pso） algorithm based on multimedia data reasonable scheduling method, according to the priority of the request of multimedia data collection to determine, the scheduling time as target parameter of scheduling policy, to solve the optimal node set, to achieve the shortest scheduling time. General particle swarm optimization （pso） algorithm is analyzed, introduced to optimize the performance of the compression factor of learning factor and improved particle swarm algorithm is given individual fitness evaluation function, through the multimedia data pieces the size of the priority to choose the highest priority multimedia data, add it to the scheduling window. Using improved particle swarm algorithm to obtain the optimal node set, see it as an optimal dispatching strategy, so as to realize the reasonable scheduling of multimedia data. The simulation results show that the proposed method can make full use of the node bandwidth resources, greatly reduces the startup delay of multimedia and the load on the server, to strengthen the overall performance of the system.