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.
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This work was supported by the National Research Foundation of Korea (NRF) through contract N16-NM-CR01 and the Program of Construction and Operation for Large-scale Science Data Center (K-16-L01-C06).
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Kim, J.H., Jin, D. & Lee, P. Cyber Physical System-Based Convergence Operation of Data Intensive Computing Resources. Wireless Pers Commun 89, 881–891 (2016). https://doi.org/10.1007/s11277-016-3235-7
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DOI: https://doi.org/10.1007/s11277-016-3235-7