Affiliation of Author(s):计算机科学与技术学院/人工智能学院/软件学院
Journal:Lect. Notes Comput. Sci.
Abstract:Aiming at the characteristics of large volume, fast storage and interaction speed of unmanned aerial vehicle (UAV) freight data, a new real-time storage optimization method for UAV freight stream data based on HBase is designed. In this paper, we introduce the JavaNIO non-blocking communication technology to reduce system overhead, and adopts a multi-queue thread pool mechanism of priority dynamic switching to solve the problem of high concurrent transaction processing. Finally, the data is stored in parallel to the HBase cluster server using the row key optimization strategy and the multi-source data queue partition strategy. The experimental results show that compared with the native HBase method, the storage performance of the system is greatly improved, and it has a good performance of high concurrent transaction processing. © Springer Nature Switzerland AG 2018.
ISSN No.:0302-9743
Translation or Not:no
Date of Publication:2018-01-01
Co-author:Long, Xiao,Frank
Correspondence Author:Long, Xiao,zl
Date of Publication:2018-01-01