Author: bardram

The main challenges with existing Grid Computing approaches is that they require high technical knowledge and dedicated hardware and software resources. For these reasons, the deployment and operational cost of such grid systems is substantial, preventing their adoption and direct use by non-technical organizations and users, such as biological researchers in a small university lab. Only a relatively few dedicated scientists use the classic grids like Globus; and setting up projects in volunteer computing grids like BOINC is rather centralized and require running a dedicated server infrastrucure.

In contrast to these large-scale grid infrastructures, our goal has been to create a distributed and ad-hoc grid computing platform for scientist to use as part of their work in the biology laboratory.

Continue reading “The Mini-Grid Framework”

In general, most contemporary computing (hardware, operating systems, and applications) lack support for multitasking, mobility and collaboration across multiple devices. ReticularSpaces was designed as a multi-device smartspace technology for collocated collaboration.

It consists of a runtime infrastructure for ad-hoc discovery and integration of collocated devices, and a novel user interface technology for interacting with touch-enabled interactive displays ranging from small personal digital assistants (PDAs) to very large wall-based and tabletop displays.

Continue reading “ReticularSpaces”

The AWARE architecture was built as part of the AWARE project. The architecture was a general-purpose architecture for maintaining ‘context-based social awareness’ within a workplace . It was designed to support the safety- and time-critical work on a surgical department and supported two proof-of-concept end-user applications; the AwarePhone and AwareMedia systems .

Continue reading “AWARE Architecture with AwarePhone and AwareMedia Applications”

Context-awareness covers the idea of computers reacting upon, and adapting to the user’s context, e.g. location, time of day, the specific task the user is engaged in, etc. Context is sensed by tracking location of persons and objects, through sensors in the environment, and by trying to understand what the user is doing, by e.g. looking in his or her calendar.

Continue reading “Java Context-Awareness Framework (JCAF)”