基于半带滤波分块采样的计算任务排序算法  

Computing Task Sorting Algorithm Based on Half Band Filter Sub Block Sampling

作　　者：刘彩霞 

机构地区：[1]郑州工业应用技术学院,郑州451150

出　　处：《科技通报》2015年第10期193-195,共3页Bulletin of Science and Technology

摘　　要：在计算机信息管理中,需要对计算任务按优先级或复杂度进行优化排序,实现计算效益优化。研究云计算信息系统中的计算任务优化排序算法,提高数据管理和调度的效率。传统方法采用子带合成滤波方法进行任务排序,计算开销和执行时效性方面性能不好,提出一种基于带滤波分块采样的计算任务排序算法。计算在整个计算机信息管理基站的每个站点的合计成本,根据信息匹配相关度进行资源搜索,计算任务分配时半滤波分块采样的收敛函数,得到基于半滤波分块采样的任务排序二元假设检验分配模型,实现任务优先级排序优化。仿真结果表明,采用该算法对云计算信息系统中的计算任务进行排序,能有效准确地确定计算任务的优先级,减少任务冲突,提高任务执行效率,在计算机信息管理和任务分配中具有较高应用价值。In computer information management, the need for computing tasks according to priority or complexity of the opti-mized sorting, realize the calculation efficiency optimization. The research of cloud computing optimization algorithm of computing tasks in information system, improve the efficiency of data management and scheduling. The traditional method is using the sub-band synthesis filter method for task sequencing, the computation and the execution time of the perfor-mance is not good, put forward a sort of computing tasks with filtering algorithm based on block sampling. In the calculation of total cost of each site of the whole computer information management of base station, according to the information match-ing of resources search, calculation convergence function is assigned half filter block sampling, get the distribution sort half filter block sampling of two element hypothesis test model based on task priority scheduling optimization, implementation. The simulation results show that, the cloud computing tasks in information systems are sorted using the algorithm, can effec-tively and accurately determine the priority of reducing computing tasks, task conflict, improve the efficiency of task execu-tion, has higher application value in the computer information management and task allocation.

关 键 词：计算机信息管理 云计算 任务排序 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]