Predicting Temporal Aspects of Movement for Predictive Replication in Fog Environments

arXiv:2306.00575v4 Announce Type: replace-cross
Abstract: To fully exploit the benefits of the fog environment, efficient management of data locality is crucial. Blind or reactive data replication falls short in harnessing the potential of fog computing, necessitating more advanced techniques for predicting where and when clients will connect. While spatial prediction has received considerable attention, temporal prediction remains understudied.
Our paper addresses this gap by examining the advantages of incorporating temporal prediction into existing spatial prediction models. We also provide a …

abstract advanced arxiv benefits blind computing cs.dc cs.lg data data replication environment environments exploit management predictive replication spatial temporal type will