摘要
在云计算环境下海量数据调度的过程中,数据节点的利用存在较强的随机性.传统调度方法容易造成数据节点冲突,从而导致调度效率降低.提出基于数据节点冲突避免的云计算环境下海量数据高效调度方法.将整个调度任务划分成多个子任务,计算每个子任务任务量,根据目标数据在数据节点的传输情况,对数据节点的任务量进行计算,根据计算结果,建立优化的云计算环境下海量数据调度模型.实验结果表明,利用改进算法进行云计算环境下海量数据调度,能够有效提高调度的效率,避免了数据发生冲突的情况.
Huge amounts of data in a cloud computing environment scheduling process,the use of data nodes exist strong randomness.Traditional scheduling method is easy to cause data node conflict,leading to the scheduling efficiency lower.Based on data node to avoid conflict of huge amounts of data efficiently scheduling method in cloud computing environment.The whole scheduling tasks into subtasks,each subtask quantity calculation,according to the target data in data transmission of a node,the data node quota calculation,according to the calculation results,establishing optimized scheduling model huge amounts of data in cloud computing environment.The experimental results show that the improved data scheduling algorithm in cloud computing environment,can effectively improve the efficiency of the scheduling,to avoid the data conflict situations.
出处
《微电子学与计算机》
CSCD
北大核心
2014年第9期159-161,166,共4页
Microelectronics & Computer
关键词
云计算环境
海量数据
调度模型
cloud computing environment
Huge amounts of data
Scheduling model
