Paper Abstract and Keywords |
Presentation |
2017-12-22 13:30
A Study on Prototyping of Fast Database Engine with Runtime Resource Adjustment Mechanism in Cloud Environments Akihiro Okuno, Yuto Hayamizu, Kazuo Goda (The Univ. of Tokyo), Masaru Kitsuregawa (The Univ. of Tokyo/NII) DE2017-25 |
Abstract |
(in Japanese) |
(See Japanese page) |
(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) |
(in English) |
Cloud / Database Engine / Dynamic Resource Adjustment / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 374, DE2017-25, pp. 7-12, Dec. 2017. |
Paper # |
DE2017-25 |
Date of Issue |
2017-12-15 (DE) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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DE2017-25 |
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