摘要
网络环境下的大数据已经成为数据传输的主要信息载体,大数据使用方式的多样化需要对网络大数据进行多维度的调度调用。传统网络大数据的调度技术能够简单地对网络大数据进行调度,但在目前高维度网络环境下很难进行分层次分维度的调用。针对上述问题,提出网络大数据的分层调度技术。在网络环境下设置多维度分层调度结构,通过网络多维度分层实现高精度的大数据调用。通过实验分析结果可以看出,提出的网络大数据的分层调度技术能够在网络环境下对大数据进行高精度的分层调度。
Big data in the network environment has become a main information carrier of data transmission,and the diversification of big data usage modes requires multi-dimensional scheduling call to network big data. The traditional network big data scheduling technology can schedule network big data simply,but it is difficult to make the hierarchical and multi-dimensional call in the current high dimensional network environment. Aiming at the above problems,a hierarchical scheduling technology for network big data is proposed. The multi-dimensional hierarchical scheduling structure is set up in the network environment,and the high-precision big data call can be realized by multi-dimensional stratification of network. The experimental analysis results show that the proposed hierarchical scheduling technology for network big data can carry out high-precision hierarchical big data scheduling in the network environment.
出处
《现代电子技术》
北大核心
2018年第4期172-175,共4页
Modern Electronics Technique
关键词
网络环境
大数据调用
多维度调用
分层调度
调度结构
数据传输
network environment
big data call
multi-dimension call
scheduling structure
hierarchical scheduling
data transmission
