DocumentCode
2179764
Title
Signal and information processing in mobile cloud computing: Trends and challenges
Author
Chia-Yu Lin ; Li-Chun Wang
Author_Institution
Dept. of Electr. & Comput. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fYear
2015
fDate
16-19 Feb. 2015
Firstpage
625
Lastpage
629
Abstract
Mobile devices become popular with the help of hardware improvements and new functions supported by many sensors. In this paper, we propose a mobile and multi-sensing fusion platform to integrate the unstructured streaming sensing data collecting as well as processing technology and build a QoS performance model to estimate the computing resource of the platform. We also demonstrate three mobile and multi-sensing fusion applications as the examples on the platform. Besides, we discuss the trend and challenges of combining the mobile and multi-sensing fusion technology and signal and information processing in mobile cloud computing in great detail.
Keywords
cloud computing; mobile computing; quality of service; QoS performance model; information processing; mobile cloud computing; mobile devices; multisensing fusion platform; signal processing; Cloud computing; Computational modeling; Conferences; Mobile communication; Quality of service; Sensors; Servers; mobile cloud computing; multi-sensing fusion technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Networking and Communications (ICNC), 2015 International Conference on
Conference_Location
Garden Grove, CA
Type
conf
DOI
10.1109/ICCNC.2015.7069417
Filename
7069417
Link To Document