A web visualization system of cyberinfrastructure resources

  • Authors:
  • Yuwei Wang;Kaichao Wu;Danhuai Guo;Wenting Xiang;Baoping Yan

  • Affiliations:
  • Computer Network Information Center, Chinese Academy of Sciences, Beijing, China,Graduate University of Chinese Academy of Sciences, Beijing, China;Computer Network Information Center, Chinese Academy of Sciences, Beijing, China;Computer Network Information Center, Chinese Academy of Sciences, Beijing, China;Computer Network Information Center, Chinese Academy of Sciences, Beijing, China,Graduate University of Chinese Academy of Sciences, Beijing, China;Computer Network Information Center, Chinese Academy of Sciences, Beijing, China

  • Venue:
  • WISM'12 Proceedings of the 2012 international conference on Web Information Systems and Mining
  • Year:
  • 2012

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Abstract

With the development of cyberinfrastructure (CI), the massive heterogeneous resources emerge gradually. The resources are multi-source, heterogeneous and spatiotemporally distributed. Traditional structural management of resources has been unable to meet the needs of global resource sharing because of the lack of efficiency in expressing spatiotemporal features of CI. Since the CI resources leap over time and space, it is essential to establish a unified spatiotemporal metadata model for CI services across different disciplines. The adoption of a system with intuitive resource visualization and management would aid interoperability and collaboration of scientific research activities among organizations and domains. In this paper, we propose a spatiotemporal metadata model which characterizes the resources as spatial entities with time and space dimensions. Furthermore, a web-based GIS platform is implemented for spatiotemporal visualization. The well-known data, computing and network resources are used as the cases in the model and the visualization system. This allows the easy integration of emerging CI services into the system. Our work here would provide the scientists with great benefits for the integration, management, spatiotemporal analysis of CI resources and auxiliary optimization of resource distribution.