The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus
Articles | Volume XL-2/W1
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-2/W1, 139–142, 2013
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-2/W1, 139–142, 2013

  13 May 2013

13 May 2013


Z. Di Z. Di
  • College of Resources and Environment and Tourism, Hunan University of Arts and Science, Changde 415000, Hunan, China

Keywords: Parallel visualization, global data, render, distributed cache, network

Abstract. Visualizing the global data smoothly is a challenge to the present software and network technology, such as simulating global weather phenomena or global geological environment. In this paper, we devised an effective solution system to view global data at a real-time rendering pleasing frame rate based parallel mode. In software, we applied the open-source Visualization ToolKit (VTK) and the additional functionality of ParallelVTK. In network, we propose a centrally controlled cache system with distributed cache storage framework. The cache control server can manages a list of all contents cached by multiple cache servers and it can provide real-time requested content to the user. Additionally, it can reduce network traffic between the core network and the access network. We tested issues of our system and describe a prototype system. As a result of evaluation of the system, we have made it clear that our system architecture is effective to the global data.