カネミツ　ヒデヒロ   Hidehiro Kanemitsu   金光　永煥    所属   コンピュータサイエンス学部 コンピュータサイエンス学科    職種   専任講師
言語種別	英語
発行・発表の年月	2019/12
形態種別	学術論文
査読	査読あり
標題	Derivation of Optimal Number of Computational Resources in MapReduce
執筆形態	共著
掲載誌名	Services Transactions on Big Data
掲載区分	国外
出版社・発行元	Services Society
総ページ数	13
著者・共著者	Htway Htway Hlaing, Hidehiro Kanemitsu, Tatsuo Nakajima, and Hidenori Nakazato
概要	Resource provisioning in cloud computing is a challenge for both cloud service providers and users. Cloud service provides resources as a platform for the users to process large scale datasets. MapReduce is commonly used by the users to compute large datasets from sources such as social networking, Internet of Things (IoT), and scientific applications. A user defines the resource requirements to run a job in the cloud and, the cloud service provider invokes the virtual machines for the user upon request. Insufficient allocation of resources can result in a higher cost for cloud service providers and users. Therefore, an optimal and automatic resource provisioning approach is necessary. This paper presents the derivation of a mathematical model to estimate the optimal number of mappers and reducers based on the specification of resources and the size of the datasets for the automatic resource provisioning. In this paper, experimental results and analytical results are described to confirm the analysis.