Perceptual Components for Context Aware Computing
UbiComp '02 Proceedings of the 4th international conference on Ubiquitous Computing
Adding Generic Contextual Capabilities to Wearable Computers
ISWC '98 Proceedings of the 2nd IEEE International Symposium on Wearable Computers
AINA '06 Proceedings of the 20th International Conference on Advanced Information Networking and Applications - Volume 02
A Model of Sharing Based Multi-Agent to Support Adaptive Service in Ubiquitous Environment
ISA '08 Proceedings of the 2008 International Conference on Information Security and Assurance (isa 2008)
Virtualization as an enabler for security in mobile devices
Proceedings of the 1st workshop on Isolation and integration in embedded systems
Context-Aware Computing Applications
WMCSA '94 Proceedings of the 1994 First Workshop on Mobile Computing Systems and Applications
Introduction to this special issue on context-aware computing
Human-Computer Interaction
Fuzzy computational models for trust and reputation systems
Electronic Commerce Research and Applications
A multi-agent based user context Bayesian neural network analysis system
Artificial Intelligence Review
Journal of Systems and Software
Mobile Networks and Applications
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Cloud services are possible to consisting of personal service using service virtualization for user. However, this process set up a group of users, and has offers a group service of common structure by organized group than a service of personalized cloud. Therefore, this paper proposes a rule of virtualization to provide personalized service with optimal resources in cloud computing. Proposed rule constitute personalized service to fit the user's status by analyzing user's situation. A model for personalized service configuration is based on MLP(Multi-Layer Perceptron). And, it should ensure the connectivity of service using connection weights for link of each layer. A history of Matched service with served DR (Direct Relationship) reconstruct the user's context information by feedback. Thus, proposed rule provides personalized service automatically configured the information and application on user's situation.