CAJ | 학술논문

研究大型流媒体数据库的普适性调度问题,提高对数据库的优化访问和数据调度能力.传统方法采用遗传进化算法进行大型流媒体数据库的数据调度,数据库中海量信息流的分岔高维矢量特征不能得到有效利用,导致调度性能不好.提出一种基于混沌倍周期分岔的大型流媒体数据库普适调度算法,设计双态平稳的混沌倍周期分岔流媒体数据库调度模型,设置复激活函数,按实部和虚部分路对流媒体大数据库进行普适调度,提高数据库访问能力.仿真实验结果表明,该算法能有效提高流媒体数据调度数据吞吐量和调度成功率,普适性较好.
연구대형류매체수거고적보괄성조도문제,제고대수거고적우화방문화수거조도능력.전통방법채용유전진화산법진행대형류매체수거고적수거조도,수거고중해량신식류적분차고유시량특정불능득도유효이용,도치조도성능불호.제출일충기우혼돈배주기분차적대형류매체수거고보괄조도산법,설계쌍태평은적혼돈배주기분차류매체수거고조도모형,설치복격활함수,안실부화허부분로대류매체대수거고진행보괄조도,제고수거고방문능력.방진실험결과표명,해산법능유효제고류매체수거조도수거탄토량화조도성공솔,보괄성교호.
The study of large-scale streaming media database universal scheduling problem, improve the optimization of ac-cess and data scheduling capabilities in the database. The traditional method of data scheduling using genetic evolutionary algorithm for large-scale streaming media database, a mass of information flow in the database bifurcation of high dimen-sional vector feature cannot be utilized effectively, leading to the scheduling performance is not good. Put forward a kind of adaptive scheduling algorithm for large-scale streaming media database based on general chaotic period doubling bifurca-tion, chaotic times cycle design two-state stationary bifurcation flow media database scheduling model, set the complex acti-vation function, general according to the real and imaginary part of the convection media database suitable shunt schedul-ing, improve database access ability. Simulation results show that, this algorithm can improve the data throughput of stream-ing media data scheduling and the scheduling success ratio, good universal.