Group-user access patterns and tile prefetching based on a time-sequence distribution in Cloud-based GIS

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.