By Topic

Notice of Retraction
Research on anti-forest-fire ecological management system with cloud-computing

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Jian Tang ; Inf. Center, Yiyang Radio & Telev. Univ., Yiyang, China ; Tao Gong ; Jiajia Zhou

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting

Based on cloud-computing and ecological database, an anti-forest-fire ecological management system was designed to detect control and eliminate the forest fire. The cloud computing platform was used to collect manage and analyze the ecological data about the forest fire etc., by monitoring the forest fire in ecology and managing the information center. The cloud-computing platform against the forest fire was built with the cloud-computing simulation toolkit CloudSim, which is a framework for modeling and simulating cloud computation in infrastructures and services. The anti-forest-fire ecological management system was a kind of parallel decision support system for dealing with the forest fire in ecology, and it provided accurate timely and comprehensive information. Besides, the system can help the forestry department to make pre-arranged plans to satisfy the actual needs of security management, improve the intelligence and automation for managing the forest fire ecologically, and increase efficiency. The new technique can be used to improve the ecosystem of forest fire management and maximize the stability and security of the forest ecosystem.

Published in:

Natural Computation (ICNC), 2011 Seventh International Conference on  (Volume:4 )

Date of Conference:

26-28 July 2011