Using history to improve mobile application adaptation

Author

Narayanan, Dushyanth ; Flinn, Jason ; Satyanarayanan, M.

Author_Institution

Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA

fYear

2000

fDate

2000

Firstpage

31

Lastpage

40

Abstract

Prior work has shown the value of changing application fidelity to adapt to varying resource levels in a mobile environment. Choosing the right fidelity requires us to predict its effect on resource consumption. We describe a history-based mechanism for such predictions. Our approach generates predictors that are specialized to the hardware on which the application runs, and to the specific input data on which it operates. We are able to predict the CPU consumption of a complex graphics application to within 20% and the energy consumption of fetching and rendering Web images to within 15%

Keywords

Internet; information resources; mobile computing; rendering (computer graphics); CPU consumption; Web image rendering; complex graphics application; energy consumption; history-based mechanism; mobile application adaptation; mobile environment; resource consumption; Algorithm design and analysis; Augmented reality; Delay; Energy consumption; Graphics; Hardware; History; Image coding; Machine learning algorithms; Mobile computing;

fLanguage

English

Publisher

ieee

Conference_Titel

Mobile Computing Systems and Applications, 2000 Third IEEE Workshop on.

Conference_Location

Los Alamitos, CA

Print_ISBN

0-7695-0816-2

Type

conf

DOI

10.1109/MCSA.2000.895379

Filename

895379