Sharing hierarchical context for mobile web services
Distributed and Parallel Databases
A resource and context model for mobile middleware
Personal and Ubiquitous Computing - Special Issue: Selected Papers of the ARCS06 Conference
On the control of adaptation in ubiquitous computing
Proceedings of the 2008 ACM symposium on Applied computing
A self-adaptive context processing framework for wireless sensor networks
Proceedings of the 3rd international workshop on Middleware for sensor networks
Middleware for ubiquitous context-awareness
Proceedings of the 6th international workshop on Middleware for pervasive and ad-hoc computing
Context-aware systems: A literature review and classification
Expert Systems with Applications: An International Journal
A framework for mobile, context-aware applications
ICT'09 Proceedings of the 16th international conference on Telecommunications
Online evolutionary context-aware classifier ensemble framework for object recognition
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Scalable processing of context information with COSMOS
DAIS'07 Proceedings of the 7th IFIP WG 6.1 international conference on Distributed applications and interoperable systems
| Hi-index | 0.00 |
Mobile computing environments are characterized by heterogeneity—systems consisting of different device types, operating systems, network interfaces, and communication protocols. In a realistic scenario of context-aware computing, we should be able to deploy context management middleware throughout the distributed system at every device, despite its resource limitations, and the developer should be able to evolve the context model whenever new context-aware applications or context providers are introduced. This article presents a middleware architecture and design strategies that address these requirements without compromising efficiency.