Title :
Remotely sensed data processing task scheduling based on limited concentration model
Author :
Li, Wen ; Chen, Yingwu ; Li, Jufang ; Gao, Peng
Author_Institution :
Coll. of Inf. Syst. & Manage., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
This paper presents a new model for the remotely sensed data processing task scheduling problem - limited concentration model based on analysis of existing models of this problem. This model consists of two parts: task dispensation of schedule manager and local scheduling. A framework is presented for solving this problem. At last, experiments results show the effectiveness of our approach.
Keywords :
data analysis; geophysics computing; problem solving; remote sensing; limited concentration model; remotely sensed data processing task scheduling; task dispensation; Annealing; remotely sensed data processing; task management and scheduling;
Conference_Titel :
Progress in Informatics and Computing (PIC), 2010 IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-6788-4
DOI :
10.1109/PIC.2010.5687964