Adaptive resource prefetching with spatial–temporal and topic information for educational cloud storage systems

作者：

Highlights：

• A novel topic model is proposed to estimate the resource popularity in terms of educational topics.

• An adaptive prefetching inference approach is designed to predict popular educational resources.

• An efficient prefetching management mechanism is introduced to support geo-distributed cloud storage systems.

摘要

•A novel topic model is proposed to estimate the resource popularity in terms of educational topics.•An adaptive prefetching inference approach is designed to predict popular educational resources.•An efficient prefetching management mechanism is introduced to support geo-distributed cloud storage systems.

论文关键词：Spatial–temporal locality,Topic information,Semantic inference,Prefetching mechanism,Educational resources

论文评审过程：Received 17 April 2019, Revised 28 May 2019, Accepted 29 May 2019, Available online 31 May 2019, Version of Record 16 August 2019.

论文官网地址：https://doi.org/10.1016/j.knosys.2019.05.034