research-article

The design of on-line item bank system based on cloud computing platform GAE

Authors:

Jing Dong,

Jun Han,

Jing Liu,

Huibin YinAuthors Info & Claims

ICCC '11: Proceedings of the 2011 International Conference on Innovative Computing and Cloud Computing

Pages 71 - 74

https://doi.org/10.1145/2071639.2071657

Published: 13 August 2011 Publication History

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Abstract

With the rapid development of network, computer network has entered the era of cloud computing, cloud computing has become a research hot area between major IT companies. Google App Engine. Google App Engine (GAE) is a cloud computing platform launched in 2009 by google; it is an engine for Internet application service. Currently on-line item bank system has been an important part of building information resources of the schools. This article study about the on-line item bank system based on cloud computing platform GAE and it focuse on the construction of the database.

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Cited By

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Prasad KBharathi P(2022)An optimal scheme for differentiating a variety of fruits for real-time prediction using Convolutional Neural Network by comparing with Decision Tree to increase the Accuracy, Precision and Sensitivity2022 International Conference on Business Analytics for Technology and Security (ICBATS)10.1109/ICBATS54253.2022.9759093(1-6)Online publication date: 16-Feb-2022
https://doi.org/10.1109/ICBATS54253.2022.9759093

Index Terms

The design of on-line item bank system based on cloud computing platform GAE
1. Information systems
  1. Data management systems
    1. Database design and models

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Information

Published In

ICCC '11: Proceedings of the 2011 International Conference on Innovative Computing and Cloud Computing

August 2011

131 pages

ISBN:9781450305679

DOI:10.1145/2071639

General Chairs:
Honghua Tan
Wuhan Institute of Technology, China
,
Jun Zhang
Huazhong University of Science and Technology, China
,
Program Chairs:
Dehuai Yang
Huazhong Normal University, China
,
Yanwen Wu
Huazhong Normal University, China

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 August 2011

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ICCC '11

Sponsor:

ACM Wuhan Chapter
Wuhan Univ.

ICCC '11: 2011 International Conference on Innovative Computing and Cloud Computing

August 13 - 14, 2011

Wuhan, China

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Cited By

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Prasad KBharathi P(2022)An optimal scheme for differentiating a variety of fruits for real-time prediction using Convolutional Neural Network by comparing with Decision Tree to increase the Accuracy, Precision and Sensitivity2022 International Conference on Business Analytics for Technology and Security (ICBATS)10.1109/ICBATS54253.2022.9759093(1-6)Online publication date: 16-Feb-2022
https://doi.org/10.1109/ICBATS54253.2022.9759093

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