Presentation 2017-12-22
A Study on Prototyping of Fast Database Engine with Runtime Resource Adjustment Mechanism in Cloud Environments
Akihiro Okuno, Yuto Hayamizu, Kazuo Goda, Masaru Kitsuregawa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Cloud environments are becoming widely used together with on-premise environments. Cloud environments allow users to adjust the computation and storage resources on their demand. However, since the conventional database engine has been designed for the on-premise environments, which provide a fixed amount of resources, it has been difficult to exploit the elasticity of the computing resources of the cloud environments. In this paper, we propose a method to adjust the resource usage during query runtime, and verify the effectiveness of our method by showing the experimental results.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Cloud / Database Engine / Dynamic Resource Adjustment
Paper # DE2017-25
Date of Issue 2017-12-15 (DE)

Conference Information
Committee DE / IPSJ-DBS
Conference Date 2017/12/22(2days)
Place (in Japanese) (See Japanese page)
Place (in English) National Institute of Informatics
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Akiyo Nadamoto(Konan Univ.) / 森嶋 厚行(筑波大)
Vice Chair Koji Eguchi(Kobe Univ.) / Shingo Otsuka(Kanagawa Inst. of Tech.)
Secretary Koji Eguchi(Kogakuin Univ.) / Shingo Otsuka(Univ. of Marketing and Distrbution Science)
Assistant Kazuo Goda(Univ. of Tokyo) / Yuroaki Shiokawa(Tsukuba Univ.)

Paper Information
Registration To Technical Committee on Data Engineering / Special Interest Group on Database System
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Prototyping of Fast Database Engine with Runtime Resource Adjustment Mechanism in Cloud Environments
Sub Title (in English)
Keyword(1) Cloud
Keyword(2) Database Engine
Keyword(3) Dynamic Resource Adjustment
1st Author's Name Akihiro Okuno
1st Author's Affiliation Institute of Industrial Science, The University of Tokyo(The Univ. of Tokyo)
2nd Author's Name Yuto Hayamizu
2nd Author's Affiliation Institute of Industrial Science, The University of Tokyo(The Univ. of Tokyo)
3rd Author's Name Kazuo Goda
3rd Author's Affiliation Institute of Industrial Science, The University of Tokyo(The Univ. of Tokyo)
4th Author's Name Masaru Kitsuregawa
4th Author's Affiliation Institute of Industrial Science, The University of Tokyo/National Institute of Informatics(The Univ. of Tokyo/NII)
Date 2017-12-22
Paper # DE2017-25
Volume (vol) vol.117
Number (no) DE-374
Page pp.pp.7-12(DE),
#Pages 6
Date of Issue 2017-12-15 (DE)