Title :
Distributed processing of mass cognitive information based on cognitive engine framework
Author :
Dan Ye ; Yiming Wang
Author_Institution :
Sch. of Electron. & Inf. Eng., Soochow Univ., Suzhou, China
Abstract :
This paper creates new thinking on distributed processing of the statistics of cognitive base station provided by new embedded real-time database Berkeley DB. An innovative cloud storage strategy for multiple base stations´ real-time measurement information, proposed in this paper, is to achieve primary user´s accurate statistics. The presented framework will give a macroscopic view of mass cognitive information processing in the cognitive radio networks by taking new distributed cognitive engine framework with Hadoop cluster multi-nodes and will also provide insight into future works of the revolutionary networks.
Keywords :
cloud computing; cognitive radio; database management systems; embedded systems; telecommunication computing; Berkeley DB; Hadoop cluster multinodes; cognitive base station; cognitive radio networks; distributed cognitive engine framework; distributed processing; embedded real-time database; innovative cloud storage strategy; macroscopic view; mass cognitive information processing; multiple base station real-time measurement information; primary user accurate statistics; revolutionary networks; Berkeley DB; Cloud Computing; Cognitive Engine; Cognitive Radio Network (CRN); Distributed Processing; Hadoop cluster; Multi-domain Cognitive;
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2012 5th International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-1183-0
DOI :
10.1109/BMEI.2012.6513056