Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6921852 | Computers, Environment and Urban Systems | 2018 | 11 Pages |
Abstract
The contributions of this study are twofold. First, we present the GMM for short-term variations of tile access popularity, fixed spatial correlation, and temporal locality of accessed tiles in group-user intensive access behavior. Second, our study on access behavior makes the resulting prefetching strategy adaptable to varying intensities and bursting patterns in group-user access for optimizing CGIS performance. The prefetching strategy is stable and reduces the service resource consumption as it conforms to quantitatively measured access patterns.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Rui Li, Jiapei Fan, Huayi Wu, Jie Jiang, Guangsheng Dong,