@article {63322,
	title = {A parallel content-based image retrieval system using spark and tachyon frameworks},
	journal = {Journal of King Saud University - Computer and Information SciencesJournal of King Saud University - Computer and Information Sciences},
	year = {2019},
	month = {2019},
	abstract = {With the huge increase of large-scale multimedia over Internet, especially images, building Content-Based Image Retrieval (CBIR) systems for large-scale images has become a big challenge. One of the drawbacks associated with CBIR is the very long execution time. In this article, we propose a fast Content-Based Image Retrieval system using Spark (CBIR-S) targeting large-scale images. Our system is composed of two steps.\&nbsp;(i) image indexation step, in which we use\&nbsp;MapReduce\&nbsp;distributed model on Spark in order to speed up the indexation process. We also use a memory-centric\&nbsp;distributed storage system, called Tachyon, to enhance the write operation\&nbsp;(ii) image retrieving step\&nbsp;which we speed up by using a parallel k-Nearest Neighbors (k-NN) search method based on\&nbsp;MapReduce model\&nbsp;implemented under\&nbsp;Apache Spark, in addition to exploiting the cache method of spark framework. We have showed, through a wide set of experiments, the effectiveness of our approach in terms of processing time.},
	author = {Mezzoudj, Saliha and Behloul, Ali and Seghir, Rachid and Saadna, Yassmina}
}
