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Intelligent Reconfigurable Method of Cloud Computing Resources for Multimedia Data Delivery
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- Authors
- Junho CHOI, Chang CHOI, Kangbin YIM, Jeongnyeo KIM, Pankoo KIM
- Issue Date
- 2013-08
- Citation
- Informatica, v.24, no.3, pp.381-394
- ISSN
- 0868-4952
- Publisher
- IOS Press
- Language
- English
- Type
- Journal Article
- Abstract
- While users increasingly use such large multimedia data, more people use the cloud computing technology. It is necessary to manage large data in an efficient way, and to consider transmission efficiency for multimedia data of different quality. To this end, an important thing is to ensure efficient distribution of important resources (CPU, network and storage) which constitute cloud computing, and variable distribution algorithms are required therefor. This study proposes a method of designing a scheme for applying MapReduce of the FP-Growth algorithm which is one of data mining methods based on the Hadoop platform at the stage of IaaS (Infrastructure As a Service) including CPU, networking and storages. The method is then for allocating resources with the scheme.
- KSP Keywords
- Computing resources, Data mining(DM), Data mining methods, FP-growth Algorithm, Hadoop Platform, Infrastructure-as-a-Service(IaaS), Multimedia data, cloud computing technology, data delivery, efficient distribution, large data