On the optimal number of computational resources in MapReduce

Htway Htway Hlaing, Hidehiro Kanemitsu, Tatsuo Nakajima, Hidenori Nakazato

研究成果: Conference contribution

抄録

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.

元の言語English
ホスト出版物のタイトルCloud Computing – CLOUD 2019 - 12th International Conference, Held as Part of the Services Conference Federation, SCF 2019, Proceedings
編集者Qingyang Wang, Liang-Jie Zhang, Dilma Da Silva
出版者Springer-Verlag
ページ240-252
ページ数13
ISBN(印刷物)9783030235017
DOI
出版物ステータスPublished - 2019 1 1
イベント12th International Conference on Cloud Computing, CLOUD 2019 held as part of the Services Conference Federation, SCF 2019 - San Diego, United States
継続期間: 2019 6 252019 6 30

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
11513 LNCS
ISSN(印刷物)0302-9743
ISSN(電子版)1611-3349

Conference

Conference12th International Conference on Cloud Computing, CLOUD 2019 held as part of the Services Conference Federation, SCF 2019
United States
San Diego
期間19/6/2519/6/30

Fingerprint

MapReduce
Mathematical models
Specifications
Resources
Processing
Side Information
Computing
Requirements
Estimate
Open Problems
Big data
Mathematical Model
Specification
Optimization

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

これを引用

Hlaing, H. H., Kanemitsu, H., Nakajima, T., & Nakazato, H. (2019). On the optimal number of computational resources in MapReduce. : Q. Wang, L-J. Zhang, & D. Da Silva (版), Cloud Computing – CLOUD 2019 - 12th International Conference, Held as Part of the Services Conference Federation, SCF 2019, Proceedings (pp. 240-252). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 11513 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-030-23502-4_17

On the optimal number of computational resources in MapReduce. / Hlaing, Htway Htway; Kanemitsu, Hidehiro; Nakajima, Tatsuo; Nakazato, Hidenori.

Cloud Computing – CLOUD 2019 - 12th International Conference, Held as Part of the Services Conference Federation, SCF 2019, Proceedings. 版 / Qingyang Wang; Liang-Jie Zhang; Dilma Da Silva. Springer-Verlag, 2019. p. 240-252 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻 11513 LNCS).

研究成果: Conference contribution

Hlaing, HH, Kanemitsu, H, Nakajima, T & Nakazato, H 2019, On the optimal number of computational resources in MapReduce. : Q Wang, L-J Zhang & D Da Silva (版), Cloud Computing – CLOUD 2019 - 12th International Conference, Held as Part of the Services Conference Federation, SCF 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 巻. 11513 LNCS, Springer-Verlag, pp. 240-252, 12th International Conference on Cloud Computing, CLOUD 2019 held as part of the Services Conference Federation, SCF 2019, San Diego, United States, 19/6/25. https://doi.org/10.1007/978-3-030-23502-4_17
Hlaing HH, Kanemitsu H, Nakajima T, Nakazato H. On the optimal number of computational resources in MapReduce. : Wang Q, Zhang L-J, Da Silva D, 編集者, Cloud Computing – CLOUD 2019 - 12th International Conference, Held as Part of the Services Conference Federation, SCF 2019, Proceedings. Springer-Verlag. 2019. p. 240-252. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-23502-4_17
Hlaing, Htway Htway ; Kanemitsu, Hidehiro ; Nakajima, Tatsuo ; Nakazato, Hidenori. / On the optimal number of computational resources in MapReduce. Cloud Computing – CLOUD 2019 - 12th International Conference, Held as Part of the Services Conference Federation, SCF 2019, Proceedings. 編集者 / Qingyang Wang ; Liang-Jie Zhang ; Dilma Da Silva. Springer-Verlag, 2019. pp. 240-252 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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