A Framework-Based Approach to the Development of Network-Aware Applications
IEEE Transactions on Software Engineering
QoS and Context Awareness for Mobile Computing
HUC '99 Proceedings of the 1st international symposium on Handheld and Ubiquitous Computing
A Survey of Context-Aware Mobile Computing Research
A Survey of Context-Aware Mobile Computing Research
Location-Aided Planning in Mobile Network—Trial Results
Wireless Personal Communications: An International Journal
Communication Context for Adaptive Mobile Applications
PERCOMW '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications Workshops
Information Collection Services for QoS-Aware Mobile Applications
IEEE Transactions on Mobile Computing
Middleware for distributed context-aware systems
OTM'05 Proceedings of the 2005 Confederated international conference on On the Move to Meaningful Internet Systems - Volume >Part I
Towards qos-awareness of context-aware mobile applications and services
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems
Application-oriented network metrology: metrics and active measurement tools
IEEE Communications Surveys & Tutorials
Proceedings of the 2008 ACM symposium on Applied computing
Towards location based QoS-aware network selection mechanism for the nomadic mobile services
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
Video streaming using a location-based bandwidth-lookup service for bitrate planning
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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Today's mobile data applications aspire to deliver services to a user anywhere – anytime while fulfilling his Quality of Service (QoS) requirements However, the success of the service delivery heavily relies on the QoS offered by the underlying networks As the services operate in a heterogeneous networking environment, we argue that the generic information about the networks' offered-QoS may enable an anyhow mobile service delivery based on an intelligent (proactive) selection of ‘any' network available in the user's context (location and time). Towards this direction, we develop a QoS-predictions service provider, which includes functionality for the acquisition of generic offered-QoS information and which, via a multidimensional processing and history-based reasoning, will provide predictions of the expected offered-QoS in a reliable and timely manner. We acquire the generic QoS-information from distributed mobile services' components quantitatively (actively and passively) measuring the applicationlevel QoS, while the reasoning is based on statistical data mining and pattern recognition techniques.