Fast query of Big Data Based on rich Network Distribution Monitoring Information Flow
Zhijian Qu, Liang Zhao, Mingming Fan
Available Online June 2017.
- https://doi.org/10.2991/caai-17.2017.93How to use a DOI?
- rich network applications; MPP query
- In view of the inefficient query efficiency of mass monitoring data in distribution network, a new method for fast querying large data applications with rich network is proposed. Using the MPP query engine, the distribution data is embedded into the network monitoring interface, and the asynchronous query of the cross platform query interface is realized by using Ajax asynchronous interaction. The test results show that the cluster query, MPP combined with asynchronous callback mechanism to interactive server query update to hundreds of MS, cluster CPU use rate of about 11%, a reasonable amount can improve the clustering performance, improve the response ability of mass data, but much less than the expansion to enhance the ability of response to mass data cluster scale.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Zhijian Qu AU - Liang Zhao AU - Mingming Fan PY - 2017/06 DA - 2017/06 TI - Fast query of Big Data Based on rich Network Distribution Monitoring Information Flow BT - 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017) PB - Atlantis Press SP - 411 EP - 414 SN - 1951-6851 UR - https://doi.org/10.2991/caai-17.2017.93 DO - https://doi.org/10.2991/caai-17.2017.93 ID - Qu2017/06 ER -