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	2019/06
形態種別	国際会議論文
査読	査読あり
標題	On the Optimal Number of Computational Resources in MapReduce
執筆形態	共著
掲載誌名	Lecture Notes on Computer Science (Proc. Cloud 2019)
掲載区分	国外
出版社・発行元	Springer-verlag
巻・号・頁	pp.240-252
総ページ数	13
著者・共著者	Htway Htway Hlaing, Hidehiro Kanemitsu, Tatsuo Nakajima, and Hidenori Nakazato
概要	Big data computing in the cloud needs faster processing and better resource provisioning. MapReduce is the framework for computing large scale datasets in cloud environments. Optimization of resource requirement for each job to satisfy a specific objective in MapReduce is an open problem. Many factors, e.g., system side information and requirements of each client must be considered to estimate the appropriate amount of resources. This paper presents a mathematical model for the optimal number of map tasks in MapReduce resource provisioning. This model is to estimate the optimal number of the mappers based on the resource specification and the size of the dataset.