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<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Archives</journal-id>
<journal-title-group>
<journal-title>The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Archives</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9034</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprsarchives-XL-2-W1-139-2013</article-id>
<title-group>
<article-title>PARALLEL VISUALIZATION WITH GLOBAL DATA BASED DISTRIBUTED CACHE FRAMEWORK</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Di</surname>
<given-names>Z.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>College of Resources and Environment and Tourism, Hunan University of Arts and Science, Changde 415000, Hunan, China</addr-line>
</aff>
<pub-date pub-type="epub">
<day>13</day>
<month>05</month>
<year>2013</year>
</pub-date>
<volume>XL-2/W1</volume>
<fpage>139</fpage>
<lpage>142</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2013 Z. Di</copyright-statement>
<copyright-year>2013</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XL-2-W1/139/2013/isprs-archives-XL-2-W1-139-2013.html">This article is available from https://isprs-archives.copernicus.org/articles/XL-2-W1/139/2013/isprs-archives-XL-2-W1-139-2013.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XL-2-W1/139/2013/isprs-archives-XL-2-W1-139-2013.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XL-2-W1/139/2013/isprs-archives-XL-2-W1-139-2013.pdf</self-uri>
<abstract>
<p>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.</p>
</abstract>
<counts><page-count count="4"/></counts>
</article-meta>
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