Intelligent Reconfigurable Method of Cloud Computing Resources for Multimedia Data Delivery
- Authors
- Choi, Junho; Choi, Chang; Yim, Kangbin; Kim, Jeongnyeo; Kim, Pankoo
- Issue Date
- 2013
- Publisher
- Lithuanian Academy of Sciences
- Keywords
- cloud computing; mapreduce; fp-growth algorithm; resource provisioning
- Citation
- Informatica, v.24, no.3, pp 381 - 394
- Pages
- 14
- Journal Title
- Informatica
- Volume
- 24
- Number
- 3
- Start Page
- 381
- End Page
- 394
- URI
- https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/14565
- ISSN
- 0868-4952
1822-8844
- 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.
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Collections - College of Engineering > Department of Information Security Engineering > 1. Journal Articles
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