云平台多媒体视频信息防冲突调度算法仿真  

Cloud Platform Multimedia Video Information Conflict Prevention Scheduling Algorithm Simulation

作　　者：董薇[1] 

机构地区：[1]南京林业大学,江苏南京210037

出　　处：《计算机仿真》2015年第7期340-343,共4页Computer Simulation

基　　金：南京林业大学2013年实验教学专项研究课题(2013SYZX11)

摘　　要：云计算平台采用多服务器联合计算的模式进行多媒体视频信息通信,由于不同服务器的调度规则使得针对不同信息的调度过程也不同。传统的资源调度方法在云平台环境下,缺少对服务器的统一规划,仅仅以资源为基础,按照需求的顺序进行调度,没有考虑服务器的差异性,容易产生调度冲突,影响调度效率。提出改进二叉树搜索的云平台多媒体视频信息防冲突调度方法。对待调度任务根据服务器的来源进行拆分,并在对应的任务服务器上执行报告相应状态,通过计算得到策略执行时间,构建云平台多媒体视频信息防冲突调度模型,依据改进二叉树搜索原理获取多媒体视频信息调度过程中的冲突概率,为计算过程的冲突规避提供数据支撑,实现云平台多媒体视频信息防冲突优化调度。实验结果表明,采用改进算法进行云平台多媒体视频信息调度,能够大大提高调度效率与准确性。The research cloud platform multimedia video information conflict prevention scheduling problem,improve the scheduling performance. Cloud environment in the traditional way of multimedia video information for scheduling,only for a certain amount of video information accurately scheduling,assumptions for scheduling video information is bigger,is easy to generate scheduling conflicts,affect the scheduling efficiency. For this,put forward based on improved binary tree search cloud platform multimedia video information conflict prevention scheduling algorithm. Split according to related theories treat scheduling tasks and to take the state corresponding to the corresponding task execution on the server report,strategy execution time is obtained by calculation,build a cloud platform multimedia video information conflict prevention scheduling model,based on the improved binary tree search principle in the process of multimedia video information scheduling conflict probability,provide data support for calculating process of conflict avoidance,so as to realize a cloud platform multimedia video information optimization scheduling conflict prevention. Experimental results show that the improved algorithm is adopted to improve the cloud platform multimedia video scheduling information,can greatly improve the scheduling efficiency and accuracy.

关 键 词：云平台 多媒体视频信息 防冲突调度算法 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]