DocumentCode :
267145
Title :
cAppCloud: Contextual Personalized Application Cloud
Author :
Injung Kim ; Sahu, Sambit
Author_Institution :
Comput. Sci., Columbia Univ., New York, NY, USA
fYear :
2014
fDate :
15-18 Dec. 2014
Firstpage :
829
Lastpage :
834
Abstract :
Extending ubiquitous data access to personalized applications stack, we propose and build a cloud based intelligent personalized application leveraging cloud to allow users access to their personalized applications from anywhere on any device. Our system is smart and intelligent in the sense that it adapts itself based on (i) available bandwidth between the user location and the cloud system, (ii) user profile that is automatically sensed and learned, (iii) user locations among other context profiles. First, we develop a framework for application virtualization that decouples an application from any specific platform or device and enables access to personalized application access at per user level. Our solution is context aware and learns the usage context based on the location and user profile and leverages this to minimize the download bandwidth requirement. Next we provide an implementation of this framework for applications on Windows platform leveraging Amazon S3 cloud storage-although Capp Cloud can be implemented for any platform with any other cloud systems. Given the era of Internet of Things (IoT) and various Cloud Enabled Intelligent Applications, we feel that Capp Cloud can meet various key requirements to facilitate the interesting scenarios.
Keywords :
Internet of Things; cloud computing; information retrieval; learning (artificial intelligence); ubiquitous computing; virtualisation; Amazon S3 cloud storage-although Capp Cloud; Internet of Things; IoT; Windows platform; application virtualization; cloud based intelligent personalized application; cloud enabled intelligent applications; context aware solution; context profiles; contextual personalized application cloud; personalized applications stack; ubiquitous data access; usage context learning; user location-cloud system bandwidth; user profile; Application virtualization; Bandwidth; Cloud computing; Computers; Context; Google; Prefetching; application virtualization; cloud; personalized application desktop;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing Technology and Science (CloudCom), 2014 IEEE 6th International Conference on
Conference_Location :
Singapore
Type :
conf
DOI :
10.1109/CloudCom.2014.140
Filename :
7037769
Link To Document :
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