Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Challenge: integrating mobile wireless devices into the computational grid
Proceedings of the 8th annual international conference on Mobile computing and networking
Dynamic Configuration of Resource-Aware Services
Proceedings of the 26th International Conference on Software Engineering
Middleware Services for P2P Computing in Wireless Grid Networks
IEEE Internet Computing
Adaptive Offloading for Pervasive Computing
IEEE Pervasive Computing
Developing Adaptive Applications: The MOST Experience
Integrated Computer-Aided Engineering
User-Centric Content Negotiation for Effective Adaptation Service in Mobile Computing
IEEE Transactions on Software Engineering
MobiPADS: A Reflective Middleware for Context-Aware Mobile Computing
IEEE Transactions on Software Engineering
Context-Aware Middleware for Resource Management in the Wireless Internet
IEEE Transactions on Software Engineering
An architecture for multi-agent based self-adaptive system in mobile environment
IDEAL'05 Proceedings of the 6th international conference on Intelligent Data Engineering and Automated Learning
Investigation on runtime partitioning of elastic mobile applications for mobile cloud computing
The Journal of Supercomputing
Hi-index | 0.00 |
In order to overcome the constrained performance inherent in mobile devices, and to support services depending using wireless networks, an adaptive mobile system using mobile grid computing, is proposed. According to the mobile device environment, classes are composed of an application that executes on a specific mobile device, and allocated to surrounding devices containing idle resources. The effectiveness of this system is confirmed, by applying the system to an emergency environment, using mobile devices, which include a PDA and laptop.