Title :
A method of cloud storage algorthom for crop images information
Author :
Chunjiang Zhao ; Ronghua Gao ; Huarui Wu
Author_Institution :
Nat. Eng. Res. Center for Inf. Technol. in Agric., Beijing, China
fDate :
Oct. 30 2012-Nov. 1 2012
Abstract :
With the development of high resolution images technique, large scale data intensive computing and computing-intensity is highly demanded. However, isolated storage and dispersive management cannot meet exponentially increasing demand for storage and management of crop images. On the basis of the crop images grasped by our independent developed agricultural intelligent search engine, a kind of extraction technique will be studied to extract the special feature behind scattered image data and to build up a cloud platform for the crop images information. Fast and accurate searching for crop images and its highly efficient management under cloud computation environment are achieved through map-reduce parallel mechanism.
Keywords :
agriculture; cloud computing; crops; image resolution; search engines; agricultural intelligent search engine; cloud computation environment; cloud platform; cloud storage algorithm; computing-intensity; crop image information; dispersive management; extraction technique; high resolution images technique; isolated storage; large scale data intensive computing; map-reduce parallel mechanism; scattered image data; Agriculture; Cloud computing; Computational modeling; Distributed databases; Image storage; Memory; Servers; Cloud storage; Distributed computing; Massive image; Pyramid;
Conference_Titel :
Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-1855-6
DOI :
10.1109/CCIS.2012.6664558
