
基本信息:
- 专利标题: 云计算环境下的基于MapReduce并行化的柔性工厂作业调度方法
- 专利标题(英):Flexible factory work scheduling method based on MapReduce parallelization in cloud computing environment
- 申请号:CN201610027855.2 申请日:2016-01-15
- 公开(公告)号:CN105550825A 公开(公告)日:2016-05-04
- 发明人: 王江晴 , 帖军 , 毛腾跃 , 孙翀 , 雷建云 , 周斌
- 申请人: 中南民族大学
- 申请人地址: 湖北省武汉市洪山区民族大道182号中南民族大学
- 专利权人: 中南民族大学
- 当前专利权人: 中南民族大学
- 当前专利权人地址: 湖北省武汉市洪山区民族大道182号中南民族大学
- 代理机构: 北京汇信合知识产权代理有限公司
- 代理人: 王杰
- 主分类号: G06Q10/06
- IPC分类号: G06Q10/06 ; G05B19/418
The invention discloses a flexible factory work scheduling method based on MapReduce parallelization in a cloud computing environment. The method comprises the following steps of: receiving a remotely submitted flexible work shop scheduling problem, allocating computing resource according to a computing task and task requirements through a cloud computing elastic mode, wherein the flexible work shop scheduling problem comprises the computing task, and the task requirements of computing time and computing precision for the computing task; according to the computing resource allocated in the first step, modeling for the flexible work shop scheduling problem submitted by a user and coding the computing task, then, solving with a MapReduce parallelization genetic algorithm, and finally providing a scheduling result. In the method provided by the invention, a MapReduce model is used, thus, requirements of the user on time and precision can be satisfied, algorithm solving time can be reduced effectively, and solution quality can be improved.
公开/授权文献:
- CN105550825B 云计算环境下的基于MapReduce并行化的柔性工厂作业调度方法 公开/授权日:2021-07-02