The invisible computer
Intelligent pervasive middleware for context-based and localized telematics services
WMC '02 Proceedings of the 2nd international workshop on Mobile commerce
Data Consistency in Intermittently Connected Distributed Systems
IEEE Transactions on Knowledge and Data Engineering
View-Based Consistency and Its Implementation
CCGRID '01 Proceedings of the 1st International Symposium on Cluster Computing and the Grid
Achieving Replication Consistency Using Cooperating Mobile Agents
ICPPW '01 Proceedings of the 2001 International Conference on Parallel Processing Workshops
QoS Middleware Support for Pervasive Computing Applications
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 9 - Volume 9
Applications of context-aware computing in hospital work: examples and design principles
Proceedings of the 2004 ACM symposium on Applied computing
Preface: middleware: the key to next generation computing
Journal of Parallel and Distributed Computing - Special issue on middleware
Adaptive middleware for context-aware applications in smart-homes
MPAC '04 Proceedings of the 2nd workshop on Middleware for pervasive and ad-hoc computing
Sensor Networks for Emergency Response: Challenges and Opportunities
IEEE Pervasive Computing
Enabling Pervasive Computing with Smart Phones
IEEE Pervasive Computing
CBMS '05 Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems
Wireless Remote Healthcare Monitoring with Motes
ICMB '05 Proceedings of the International Conference on Mobile Business
Profile Based Sensor Data Acquisition in a Ubiquitous Medical Environme
PERCOMW '06 Proceedings of the 4th annual IEEE international conference on Pervasive Computing and Communications Workshops
Nanotechnology: The Growing Impact of Shrinking Computers
IEEE Pervasive Computing
The Smart Phone: A Ubiquitous Input Device
IEEE Pervasive Computing
Wearable Systems in Nursing Home Care: Prototyping Experience
IEEE Pervasive Computing
Pervasive Medical Devices: Less Invasive, More Productive
IEEE Pervasive Computing
The development of a novel minaturized modular platform for wireless sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Agent based middleware infrastructure for autonomous context-aware ubiquitous computing services
Computer Communications
Middleware Support for Quality of Context in Pervasive Context-Aware Systems
PERCOMW '07 Proceedings of the Fifth IEEE International Conference on Pervasive Computing and Communications Workshops
A Client-Side Architecture for Supporting Pervasive Enterprise Communications
PERSER '06 Proceedings of the 2006 ACS/IEEE International Conference on Pervasive Services
Performance analysis of low rate wireless technologies for medical applications
Computer Communications
Challenges in modelling and using quality of context (qoc)
MATA'05 Proceedings of the Second international conference on Mobility Aware Technologies and Applications
Agents acting and moving in healthcare scenario - a paradigm for telemedical collaboration
IEEE Transactions on Information Technology in Biomedicine
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Pervasive environments generate large quantities of data, originating from backend servers, portable devices, and wireless mobile sensors. Pervasive sensing devices that monitor properties of the environment (including human beings) can be a large data source. Unprocessed datasets may include data that is faulty and irrelevant, and data that is important and useful. If not managed correctly the large amount of data from a data-rich pervasive environment may result in information overload or delivery of incorrect information. Context-sensitive quality data management aims to gather, verify, process, and manage the multiple data sources in a pervasive environment in order to deliver high quality, relevant information to the end-user. Managing the quality of data from different sources, correlating related data, and making use of context, are all essential in providing end users with accurate and meaningful data in real time. This requirement is especially true for critical applications such as in a medical environment. This article presents the Data Management System (DMS) architecture. It is designed to deliver quality data service to its users. The DMS architecture employs an agent-based middleware to intelligently and effectively manage all pervasive data sources, and to make use of context to deliver relevant information to the end-user. Two of the DMS components are presented: (1) data validation and (2) data consistency. The DMS components have been rigorously evaluated using various medical-based test cases. This article demonstrates a careful, precise approach to data based on the quality of the data and the context of its use. It emphasises the DMS architecture and the role of software agents in providing quality data management.