|
|
|
|
|
Jiahao Li, Weiwei Song, Jianglong Chen, Qunlan Wei and Jinxia Wang
Yunnan Province, residing in the eastern segment of the Qinghai?Tibet Plateau and the western part of the Yunnan?Guizhou Plateau, faces significant challenges due to its intricate geological structures and frequent geohazards. These pose monumental risks...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hong Liu, Jining Yan, Jinlin Wang, Bo Chen, Meng Chen and Xiaohui Huang
In recent years, with the widespread use of location-aware handheld devices and the development of wireless networks, trajectory data have shown a trend of rapid growth in data volume and coverage, which has led to the prosperous development of location-...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhixin Yao, Jianqin Zhang, Taizeng Li and Ying Ding
Trajectory big data is suitable for distributed storage retrieval due to its fast update speed and huge data volume, but currently there are problems such as hot data writing, storage skew, high I/O overhead and slow retrieval speed. In order to solve th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chia-Ping Tsai, Che-Wei Chang, Hung-Chang Hsiao and Haiying Shen
Not Only SQL (NoSQL) is a critical technology that is scalable and provides flexible schemas, thereby complementing existing relational database technologies. Although NoSQL is flourishing, present solutions lack the features required by enterprises for ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Quan Xiong, Xiaodong Zhang, Wei Liu, Sijing Ye, Zhenbo Du, Diyou Liu, Dehai Zhu, Zhe Liu and Xiaochuang Yao
Recently, increasing amounts of multi-source geospatial data (raster data of satellites and textual data of meteorological stations) have been generated, which can play a cooperative and important role in many research works. Efficiently storing, organiz...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xuefeng Guan, Chong Xie, Linxu Han, Yumei Zeng, Dannan Shen and Weiran Xing
During the exploration and visualization of big spatio-temporal data, massive volume poses a number of challenges to the achievement of interactive visualization, including large memory consumption, high rendering delay, and poor visual effects. Research...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jeang-Kuo Chen and Wei-Zhe Lee
The popularization of big data makes the enterprise need to store more and more data. The data in the enterprise?s database must be accessed as fast as possible, but the Relational Database (RDB) has the speed limitation due to the join operation. Many e...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiwei Qin, Liangli Ma and Jinghua Niu
The rapid development of distributed technology has made it possible to store and query massive trajectory data. As a result, a variety of schemes for big trajectory data management have been proposed. However, the factor of data transmission is not cons...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiwei Qin, Liangli Ma and Qing Liu
In recent years positioning sensors have become ubiquitous, and there has been tremendous growth in the amount of trajectory data. It is a huge challenge to efficiently store and query massive trajectory data. Among the typical operation over trajectorie...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hua Jiang, Junfeng Kang, Zhenhong Du, Feng Zhang, Xiangzhi Huang, Renyi Liu and Xuanting Zhang
Faced with the rapid growth of vector data and the urgent requirement of low-latency query, it has become an important and timely challenge to effectively achieve the scalable storage and efficient access of vector big data. However, a systematic method ...
ver más
|
|
|
|
|
|