CloudBook: Implementing an E-book reader on a cloud platform by an optimized vector graphic library

Hsiu Lien Yeh; Tseng Yi Chen; Hsin Wen Wei; Nien I. Hsu; Jenq Shiou Leu; Heng Yin Chen

doi:10.1016/j.csi.2015.08.005

CloudBook: Implementing an E-book reader on a cloud platform by an optimized vector graphic library

Hsiu Lien Yeh, Tseng Yi Chen, Hsin Wen Wei, Nien I. Hsu, Jenq Shiou Leu, Heng Yin Chen

資訊工程學系

研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

5 引文斯高帕斯（Scopus）

摘要

Problems of the E-book application include different file formats, performance inefficiency and image distortion; those may cause a slow development of E-book marketing in the industry of information technology. This paper proposes an innovative E-book system called CloudBook, which utilizes an embedded Graphics Processing Unit (GPU) and a data locality aware Hadoop system to resolve the problems. The results of the experiments show that the CloudBook system can increase the performance of the OpenVG library by 73%, reduce the execution time of file conversion by 50%-75%, and improve the data hit ratio in cloud platform by 10%.

原文	???core.languages.en_GB???
頁（從 - 到）	68-78
頁數	11
期刊	Computer Standards and Interfaces
卷	43
DOIs	https://doi.org/10.1016/j.csi.2015.08.005
出版狀態	已出版 - 1月 2016

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10.1016/j.csi.2015.08.005

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AU - Leu, Jenq Shiou

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AB - Problems of the E-book application include different file formats, performance inefficiency and image distortion; those may cause a slow development of E-book marketing in the industry of information technology. This paper proposes an innovative E-book system called CloudBook, which utilizes an embedded Graphics Processing Unit (GPU) and a data locality aware Hadoop system to resolve the problems. The results of the experiments show that the CloudBook system can increase the performance of the OpenVG library by 73%, reduce the execution time of file conversion by 50%-75%, and improve the data hit ratio in cloud platform by 10%.

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CloudBook: Implementing an E-book reader on a cloud platform by an optimized vector graphic library

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