Performances Evaluation of a Novel Hadoop and Spark Based System of Image Retrieval for Huge Collections
A novel system of image retrieval, based on Hadoop and Spark, is presented. Managing and extracting information from Big Data is a challenging and fundamental task. For these reasons, the system is scalable and it is designed to be able to manage small collections of images as well as huge collectio...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
|
| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2015/629783 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849684522226941952 |
|---|---|
| author | Luca Costantini Raffaele Nicolussi |
| author_facet | Luca Costantini Raffaele Nicolussi |
| author_sort | Luca Costantini |
| collection | DOAJ |
| description | A novel system of image retrieval, based on Hadoop and Spark, is presented. Managing and extracting information from Big Data is a challenging and fundamental task. For these reasons, the system is scalable and it is designed to be able to manage small collections of images as well as huge collections of images. Hadoop and Spark are based on the MapReduce framework, but they have different characteristics. The proposed system is designed to take advantage of these two technologies. The performances of the proposed system are evaluated and analysed in terms of computational cost in order to understand in which context it could be successfully used. The experimental results show that the proposed system is efficient for both small and huge collections. |
| format | Article |
| id | doaj-art-c11ef158e09d46fab35fa9ae0609f48b |
| institution | DOAJ |
| issn | 1687-5680 1687-5699 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-c11ef158e09d46fab35fa9ae0609f48b2025-08-20T03:23:26ZengWileyAdvances in Multimedia1687-56801687-56992015-01-01201510.1155/2015/629783629783Performances Evaluation of a Novel Hadoop and Spark Based System of Image Retrieval for Huge CollectionsLuca Costantini0Raffaele Nicolussi1Fondazione Ugo Bordoni, Viale del Policlinico, 147 Roma, ItalyFondazione Ugo Bordoni, Viale del Policlinico, 147 Roma, ItalyA novel system of image retrieval, based on Hadoop and Spark, is presented. Managing and extracting information from Big Data is a challenging and fundamental task. For these reasons, the system is scalable and it is designed to be able to manage small collections of images as well as huge collections of images. Hadoop and Spark are based on the MapReduce framework, but they have different characteristics. The proposed system is designed to take advantage of these two technologies. The performances of the proposed system are evaluated and analysed in terms of computational cost in order to understand in which context it could be successfully used. The experimental results show that the proposed system is efficient for both small and huge collections.http://dx.doi.org/10.1155/2015/629783 |
| spellingShingle | Luca Costantini Raffaele Nicolussi Performances Evaluation of a Novel Hadoop and Spark Based System of Image Retrieval for Huge Collections Advances in Multimedia |
| title | Performances Evaluation of a Novel Hadoop and Spark Based System of Image Retrieval for Huge Collections |
| title_full | Performances Evaluation of a Novel Hadoop and Spark Based System of Image Retrieval for Huge Collections |
| title_fullStr | Performances Evaluation of a Novel Hadoop and Spark Based System of Image Retrieval for Huge Collections |
| title_full_unstemmed | Performances Evaluation of a Novel Hadoop and Spark Based System of Image Retrieval for Huge Collections |
| title_short | Performances Evaluation of a Novel Hadoop and Spark Based System of Image Retrieval for Huge Collections |
| title_sort | performances evaluation of a novel hadoop and spark based system of image retrieval for huge collections |
| url | http://dx.doi.org/10.1155/2015/629783 |
| work_keys_str_mv | AT lucacostantini performancesevaluationofanovelhadoopandsparkbasedsystemofimageretrievalforhugecollections AT raffaelenicolussi performancesevaluationofanovelhadoopandsparkbasedsystemofimageretrievalforhugecollections |