Profile Driven Architecture for Data Management in Pervasive Environments

University Of Maryland Baltimore County, Baltimore MD

Investigators

Abstract

The constant enhancements in capabilities of palmtop, embedded and wearable devices, together with the advent of pervasive connectivity, represents a new paradigm for interaction among devices. A new vista is open for research in the area of mobile data management where mobile devices gather and exchange information from not just wired sources, but also their environment and one another. Each device is both a data source and a data consumer pursuing its individual and collective tasks. New ideas are proposed for a research program aimed at realizing ubiquitous computing systems based on the cooperation of autonomous, dynamic and adaptive components (hardware as well as software) which are located in vicinity of one another. This is significantly different from ``infrastructure-based'' mobile client/server computing between PDAs and network services. The proposed research will enable a new class of applications that effectively exploit mobility and pervasive computing. New prototypes and applications will be built in the context of mobile information management within dynamic communities of ad-hoc services and devices. The research team is part of the eBiquity research group located at The University of Maryland, Baltimore County (UMBC) and will closely interact with collaborators from industry including IBM, Fujitsu, and HP.