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| Presentation | 2011-03-10 11:10 Evaluation of optimal resource allocation method for cloud computing environments with limited electric power capacity Kazuki Mochizuki, Shin-ichi Kuribayashi (Seikei Univ.)  ICM2010-60 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources. To provide cloud computing services, it is required to allocate bandwidth to access the processing ability simultaneously, in addition to processing ability. It would be necessary in the future to consider cases where ICT equipment operates under the condition that the total power supply available is restricted, because the percentage of power generated by renewable energy, such as photovoltaic power generation and wind power energy, will continue to rise and the power generated by these natural means varies over time considerably. First, this paper presents an optimal resource allocation guideline in a case where there is a limit to power capacity available in each area, assuming a cloud computing environment in which both computing power and network bandwidth are allocated simultaneously. Next, it proposes an algorithm for optimally allocating both computing power and bandwidth as well as power capacity. Optimal allocation means that the number of requests that can be processed is maximized, and the power consumed by each request is minimized under the condition that total power capacity available is limited. It is demonstrated by simulation evaluations that the proposed algorithm is effective. Finally, this paper presents an algorithm that attempts to reduce total power consumption by aggregating the processing of multiple areas in sleep mode. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | cloud computing / reducing energy consumption / limited electric power capacity / joint multiple resource allocation / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 110, no. 466, ICM2010-60, pp. 35-39, March 2011. | |
| Paper # | ICM2010-60 | |
| Date of Issue | 2011-03-03 (ICM) | |
| 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) | |
| Download PDF | ICM2010-60 |
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| Conference Information | |
| Committee | ICM |
| Conference Date | 2011-03-10 - 2011-03-11 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Miyakojima Marine Terminal |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Element Management, Management Functionalities, Operations and Management Technologies |
| Paper Information | |
| Registration To | ICM |
| Conference Code | 2011-03-ICM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Evaluation of optimal resource allocation method for cloud computing environments with limited electric power capacity |
| Sub Title (in English) | |
| Keyword(1) | cloud computing |
| Keyword(2) | reducing energy consumption |
| Keyword(3) | limited electric power capacity |
| Keyword(4) | joint multiple resource allocation |
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| 1st Author's Name | Kazuki Mochizuki |
| 1st Author's Affiliation | Seikei University (Seikei Univ.) |
| 2nd Author's Name | Shin-ichi Kuribayashi |
| 2nd Author's Affiliation | Seikei University (Seikei Univ.) |
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| Speaker | Author-2 |
| Date Time | 2011-03-10 11:10:00 |
| Presentation Time | 20 minutes |
| Registration for | ICM |
| Paper # | ICM2010-60 |
| Volume (vol) | vol.110 |
| Number (no) | no.466 |
| Page | pp.35-39 |
| #Pages | 5 |
| Date of Issue | 2011-03-03 (ICM) |
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