Title :
Intelligent filtering method for improvement of service accuracy in Mobile Cloud Computing
Author :
Chang, Hyokyung ; Ahn, Hyosik ; Kang, Yongho ; Choi, Euiin
Author_Institution :
Dept. Of Comput. Eng., Hannam Univ., Daejeon, South Korea
fDate :
Nov. 29 2011-Dec. 1 2011
Abstract :
Recently Mobile Cloud Computing has become a new IT paradigm due to appearance of Cloud Computing environment and the growth of mobile devices such as smartphone, Tablet PC, and PDA. This mobile cloud environment provides various services and IT resources according to users´ requests, so an effective supply of service and IT resources is required. Hence, this paper proposed an intelligent filtering approach for improvement of service accuracy based on resource usage frequency and context-awareness information in mobile cloud computing in order to provide distributed IT resources and services for users.
Keywords :
cloud computing; information filtering; mobile computing; IT paradigm; cloud computing environment; context-awareness information; distributed IT resources; distributed IT services; intelligent filtering method; mobile cloud computing; mobile cloud environment; mobile devices; resource usage frequency; service accuracy improvement; Cloud computing; Context; Context modeling; Filtering; Mobile communication; Object oriented modeling; Ontologies;
Conference_Titel :
Computer Sciences and Convergence Information Technology (ICCIT), 2011 6th International Conference on
Conference_Location :
Seogwipo
Print_ISBN :
978-1-4577-0472-7
