摘要
面向银行非现场稽核系统中海量数据的处理,提出一种基于贪婪算法ETL最优任务调度方法,使得任务总的执行时间最短.通过实测验证了该任务调度方法的高效和稳定.
Facing massive data processing of non-scene auditing systems in commercial bank, an optimal task scheduling method of ETL based on greedy algorithm is proposed. The shortest total task processing time can be achieved by this task scheduling method. Through the actual test, the high efficiency and stability of our task scheduling method based on greedy algorithm is proved.
出处
《微电子学与计算机》
CSCD
北大核心
2009年第7期130-133,共4页
Microelectronics & Computer
基金
国家自然科学基金项目(50505036)
