Architecture design for spatial data grid

Hua Liu; Deren Li; Weiying Yang; Tao Shang

doi:10.1117/12.712933

28 October 2006 Architecture design for spatial data grid

Hua Liu, Deren Li, Weiying Yang, Tao Shang

Proceedings Volume 6420, Geoinformatics 2006: Geospatial Information Science; 642011 (2006) https://doi.org/10.1117/12.712933
Event: Geoinformatics 2006: GNSS and Integrated Geospatial Applications, 2006, Wuhan, China

Abstract

Traditional GIS has many flaws in managing distributed, large-scale, heterogeneous spatial data. Nowadays, more and more countries build their own spatial data grid to provide abundant data services. But data grid system is a complicated one and involved in lots of entities which are different in many ways, including type, performance, runtime environment, etc. It is necessary to divide the whole system into different layers, which has great importance to simplify the system complexity, improving system stability and establish an efficient, extensible, self-adaptive and self-organizing system. Here, after carefully analyzing various system entities, the article describe the idea that entities are divided into three kinds service-type entities, management-type entities and draw-type entities that is the basis of clear level classification of the spatial data grid and establishment of a mixed three-tier architecture based on grid computing and P2P technologies.

Citation Download Citation

Hua Liu, Deren Li, Weiying Yang, and Tao Shang "Architecture design for spatial data grid", Proc. SPIE 6420, Geoinformatics 2006: Geospatial Information Science, 642011 (28 October 2006); https://doi.org/10.1117/12.712933

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available