Grid technology is an emerging computing model that provides the ability to perform higher throughput computing by taking advantage of many networked computers to model a virtual computer architecture that is able to distribute process execution across a parallel infrastructure.
Published in Chapter:
Sharing of Distributed Geospatial Data through Grid Technology
Yaxing Wei (George Mason University, USA), Liping Di (George Mason University, USA), Guangxuan Liao (University of Science and Technology China, China), Baohua Zhao (University of Science and Technology China, China), Aijun Chen (George Mason University, USA), and Yuqi Bai (George Mason University, USA)
Copyright: © 2009
|Pages: 7
DOI: 10.4018/978-1-59140-995-3.ch028
Abstract
With the rapid accumulation of geospatial data and the advancement of geoscience, there is a critical requirement for an infrastructure that can integrate large-scale, heterogeneous, and distributed storage systems for the sharing of geospatial data within multiple user communities. This article probes into the feasibility to share distributed geospatial data through Grid computing technology by introducing several major issues (including system heterogeneity, uniform mechanism to publish and discover geospatial data, performance, and security) to be faced by geospatial data sharing and how Grid technology can help to solve these issues. Some recent research efforts, such as ESG and the Data Grid system in GMU CSISS, have proven that Grid technology provides a large-scale infrastructure which can seamlessly integrate dispersed geospatial data together and provide uniform and efficient ways to access the data.