Abstract : Network bandwidth and hardware technology are developing rapidly, resulting in the vigorous development of the Internet. A concept, cloud computing, uses low-power hosts to achieve high quality service. According to the characteristics of cloud computing, the cloud service providers can support the service applications on the Internet. There are a lot of applications and data centers in the cloud-computing environment, then the loading of storage node is heavier than before. However, data deduplication techniques can greatly reduce the amount of data. Therefore, an integer Bloom Filter based Lightweight Deduplication Mechanism (LDM) under cloud storage is proposed. The proposed LDM can reduce the extra cost that traditional data deduplication technique needed.
Type de document :
Communication dans un congrès
Ching-Hsien Hsu; Xuanhua Shi; Valentina Salapura. 11th IFIP International Conference on Network and Parallel Computing (NPC), Sep 2014, Ilan, Taiwan. Springer, Lecture Notes in Computer Science, LNCS-8707, pp.587-590, 2014, Network and Parallel Computing. 〈10.1007/978-3-662-44917-2_59〉
https://hal.inria.fr/hal-01403155
Contributeur : Hal Ifip
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Soumis le : vendredi 25 novembre 2016 - 14:50:13
Dernière modification le : vendredi 1 décembre 2017 - 01:10:10
Document(s) archivé(s) le : mardi 21 mars 2017 - 12:19:04
Kuo-Qin Yan, Yung-Hsiang Su, Hsin-Met Chuan, Shu-Ching Wang, Bo-Wei Chen. Quality of Service Enhancement by Using an Integer Bloom Filter Based Data Deduplication Mechanism in the Cloud Storage Environment. Ching-Hsien Hsu; Xuanhua Shi; Valentina Salapura. 11th IFIP International Conference on Network and Parallel Computing (NPC), Sep 2014, Ilan, Taiwan. Springer, Lecture Notes in Computer Science, LNCS-8707, pp.587-590, 2014, Network and Parallel Computing. 〈10.1007/978-3-662-44917-2_59〉. 〈hal-01403155〉
