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| Presentation | 2015-12-05 14:50 Performance Prediction for GAE Using the UPPAAL Sachi Nishida, Yoshiyuki Shinkawa (Ryukoku Univ.)  SWIM2015-15 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Recently, PaaS type cloud services like Google App Engine (GAE) are becoming a candidate for the system processing platform of enterprise information systems. PaaS has excellent properties for developing and operating backbone systems cost-effectively, along with the flexibility of application forms. However we often face with the problems regarding performance prediction during development, since PaaS system structure is hidden and virtualize and required performance related information is not opened for general public. In addition, the more relaxed data integrity principle called BASE makes the data integrity evaluation difficult. This paper proposes a process and relevant techniques to predict the performance of transaction systems for GAE datastore database, which is one of the NoSQL databases, using the model checking tool UPPAAL. In order to create the prediction model, we focus on the Application Programming Interfaces (APIs) instead of system structures, and regard the system as a mechanism to process these APIs. Moreover, we write Java programs to measure the processing time of each API, and incorporate the statistical properties like mean and variance into the model. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Transaction Processing / Cloud Computing / Google App Engine / UPPAAL / Performance Prediction / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 115, no. 353, SWIM2015-15, pp. 19-24, Dec. 2015. | |
| Paper # | SWIM2015-15 | |
| Date of Issue | 2015-11-28 (SWIM) | |
| 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 | SWIM2015-15 |
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| Conference Information | |
| Committee | SWIM |
| Conference Date | 2015-12-05 - 2015-12-05 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tokyo polytechnic Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Model implementation, etc. (Work Shop) |
| Paper Information | |
| Registration To | SWIM |
| Conference Code | 2015-12-SWIM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Performance Prediction for GAE Using the UPPAAL |
| Sub Title (in English) | |
| Keyword(1) | Transaction Processing |
| Keyword(2) | Cloud Computing |
| Keyword(3) | Google App Engine |
| Keyword(4) | UPPAAL |
| Keyword(5) | Performance Prediction |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Sachi Nishida |
| 1st Author's Affiliation | Ryukoku University (Ryukoku Univ.) |
| 2nd Author's Name | Yoshiyuki Shinkawa |
| 2nd Author's Affiliation | Ryukoku University (Ryukoku Univ.) |
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| Speaker | Author-1 |
| Date Time | 2015-12-05 14:50:00 |
| Presentation Time | 25 minutes |
| Registration for | SWIM |
| Paper # | SWIM2015-15 |
| Volume (vol) | vol.115 |
| Number (no) | no.353 |
| Page | pp.19-24 |
| #Pages | 6 |
| Date of Issue | 2015-11-28 (SWIM) |
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