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Authors: Sachi Nishida and Yoshiyuki Shinkawa

Affiliation: Ryukoku University, Japan

ISBN: 978-989-758-036-9

Keyword(s): Google App Engine, Colored Petri Net, Cloud Computing, System Performance.

Related Ontology Subjects/Areas/Topics: Cloud Applications ; Cross-Feeding between Data and Software Engineering ; Distributed and Mobile Software Systems ; Formal Methods ; Model-Driven Engineering ; Simulation and Modeling ; Software Engineering ; Software Engineering Methods and Techniques

Abstract: Google App Engine (GAE) is one of the most popular PAAS type cloud platform for database transaction systems. When we plan to run those systems on GAE, performance prediction is one of the obstacles, since only a little performance information on GAE is available. In addition, the structure of GAE is not opened to general public. This paper proposes a Colored Petri Net (CPN) based simulation framework, based on the performance parameters obtained through the measurement by user written programs. The framework is build focusing on the application structure, which consists of a series of GAE APIs, and GAE works as a mechanism to produce the probabilistic process delay. The framework has high modularity to plug-in any kinds of applications easily.

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Paper citation in several formats:
Nishida, S. and Shinkawa, Y. (2014). CPN Based GAE Performance Prediction Framework.In Proceedings of the 9th International Conference on Software Engineering and Applications - Volume 1: ICSOFT-EA, (ICSOFT 2014) ISBN 978-989-758-036-9, pages 401-406. DOI: 10.5220/0005106004010406

@conference{icsoft-ea14,
author={Sachi Nishida. and Yoshiyuki Shinkawa.},
title={CPN Based GAE Performance Prediction Framework},
booktitle={Proceedings of the 9th International Conference on Software Engineering and Applications - Volume 1: ICSOFT-EA, (ICSOFT 2014)},
year={2014},
pages={401-406},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005106004010406},
isbn={978-989-758-036-9},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Software Engineering and Applications - Volume 1: ICSOFT-EA, (ICSOFT 2014)
TI - CPN Based GAE Performance Prediction Framework
SN - 978-989-758-036-9
AU - Nishida, S.
AU - Shinkawa, Y.
PY - 2014
SP - 401
EP - 406
DO - 10.5220/0005106004010406

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