Cyber Physical System-Based Convergence Operation of Data Intensive Computing Resources.

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Title: Cyber Physical System-Based Convergence Operation of Data Intensive Computing Resources.
Authors: Kim, Jeong1 jh.kim@kisti.re.kr, Jin, Duseok1 dsjin@kisti.re.kr, Lee, Pillwoo1 pwlee@kisti.re.kr
Source: Wireless Personal Communications. Aug2016, Vol. 89 Issue 3, p881-891. 11p.
Subjects: Grid computing, High performance computing research, Data libraries, Mobile communication systems, Wireless communications
Abstract: Large-scale scientific experiments involve a large number of computers. These computers generally employ grid computing to perform non-interactive, data-intensive tasks. Recent scientific studies have required multiple computers to handle massive data sets. An efficient method of supporting various research is to provide computing resources through a unified data center. This has complicated the management of computing resources in the data center. The deployment and the status of computing resources change frequently according to the requirements of each research, renewal of research support contracts, and adjustment of computing resources. This study presents a cyber physical system based on convergence operation of data-intensive computing resources to support various research groups. The proposed operation takes into account the modification of computing resources, other changes resulting from such modification, and information reflecting modification of the physical world. We first present the workload of operations and related information. Based on these relationships, we derive an optimized work process and the required physical information. For computing resources including existing equipment, we use a mobile device and a wireless network to facilitate conversion between the physical world and cyber world. The mobile device of administrator captures sequence of remote controlled management indicator lights to detect physical modification. [ABSTRACT FROM AUTHOR]
Copyright of Wireless Personal Communications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Large-scale scientific experiments involve a large number of computers. These computers generally employ grid computing to perform non-interactive, data-intensive tasks. Recent scientific studies have required multiple computers to handle massive data sets. An efficient method of supporting various research is to provide computing resources through a unified data center. This has complicated the management of computing resources in the data center. The deployment and the status of computing resources change frequently according to the requirements of each research, renewal of research support contracts, and adjustment of computing resources. This study presents a cyber physical system based on convergence operation of data-intensive computing resources to support various research groups. The proposed operation takes into account the modification of computing resources, other changes resulting from such modification, and information reflecting modification of the physical world. We first present the workload of operations and related information. Based on these relationships, we derive an optimized work process and the required physical information. For computing resources including existing equipment, we use a mobile device and a wireless network to facilitate conversion between the physical world and cyber world. The mobile device of administrator captures sequence of remote controlled management indicator lights to detect physical modification. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Wireless Personal Communications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s11277-016-3235-7
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              Text: Aug2016
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