Towards policies for data insertion in dynamic data driven application systems: a case study sudden changes in wildland fire | Zendy

Roque Rodríguez | Zendy; Ana Cortés | Zendy; Tomàs Margalef | Zendy

Open Access

Towards policies for data insertion in dynamic data driven application systems: a case study sudden changes in wildland fire

Author(s) -

Roque Rodríguez,

Ana Cortés,

Tomàs Margalef

Publication year - 2010

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2010.04.141

Subject(s) - computer science , process (computing) , dynamic data , data set , set (abstract data type) , ideal (ethics) , real time computing , data mining , database , artificial intelligence , philosophy , epistemology , programming language , operating system

We have applied the Dynamic Data Driven Application System (DDDAS) methodology to predict wildfire propagation. Our goal is to build a system that dynamically adapts to sudden changes in environmental conditions. For this purpose, we are building a parallel wildfire prediction method, which is able to assimilate real-time data to be injected in the prediction process at execution time. This data-injection needs to be intelligent in order noy to disturb the simulation process outputs. In this paper, we propose a policy for data insertion using a statistical approach and we design a set of experiments based on California wildfire where Santa Ana winds generate the ideal conditions for sudden changes in fire behavior

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