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Article type: Research Article
Authors: Choi, Junho | Choi, Chang | Yim, Kangbin | Kim, Jeongnyeo | Kim, Pankoo;
Affiliations: Department of Computer Engineering, Chosun University, 309 Pilmun-daero, Dong-gu, Gwangju, Republic of Korea, e-mail: [email protected], [email protected], [email protected] | Department of Information Security Engineering, Soonchunhyang University, Asan, Chungnam, Republic of Korea, e-mail: [email protected] | Mobile Security Research Team, Electronics and Telecommunications Research Institute, 218 Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea, e-mail: [email protected]
Note: [] Corresponding author.
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.
Keywords: cloud computing, mapreduce, fp-growth algorithm, resource provisioning
Journal: Informatica, vol. 24, no. 3, pp. 381-394, 2013
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