Mission of this Graduate School
METRIK - Model-Based Development of Technologies for Self-Organizing Decentralized Information Systems in Disaster Management
Mission of the Graduate School
Recent progress in basic research has lead to visions how to use new self-organizing networks for advanced information systems. These networks function without central administration – all nodes are able to adapt themselves to new environments autonomously and independently. The addition of new nodes or failure of individual nodes does not significantly impact the network’s ability to function properly. Information systems and underlying technologies for self-organizing networks, in the context of a specific application domain, are the central topic of research for this graduate school.
The research focuses on the important technologies needed at each individual node of a self-organizing network. Research challenges within this graduate school include: finding a path through a network with the help of new routing protocols and forwarding techniques, replication of decentralized data, automated deployment and update of software components at runtime as well as work-load balancing among terminal devices with limited resources. Furthermore, non-functional aspects such as reliability, latency and robustness will be studied.
The graduate school’s focus on decentralized information systems with self-organizing networks is sharpened by relating those more general research issues to a very specific application domain: computer-supported disaster management. For this reason, the graduate school emphasizes the use of techniques, methods, and concepts for designing and implementing geographic information systems on top of dynamic, highly flexible, self-organizing networks and their integration with services for geographic information systems based on existing technologies in these areas. To manage the complexity of data, information, and services and to make them available for the user, it is extremely important to hide (as much as possible) the difficulties and the complexity of such an environment. Only if we succeed in shielding the user from internal errors and/or changes, such systems will be accepted.
Aside from the specific demands given by the geographically dispersed positions in our application domain, the network topology plays an important role in the configuration process, because the partitioning into separated sub-networks must be detected and prevented. Furthermore, if the network should have been partitioned, it must be possible to find all sub-networks and reconnect them – if possible – with a minimal number of links.
Research in the suggested application domain is interdisciplinary by nature. The graduate school will conduct basic research in applying workflow management technology to disasterous events, such as earth quakes, based on the developed network protocols and information service concepts. The goal of this work to support decision makers in making better informed decisions by using the complete range of available options.A key differentiator of this graduate school is its model-based approach that will be applied to all layers of the system. Meta-model languages will aid disaster management experts to model their workflows, which may in turn be simulated in order to assess decision processes. Theoretical studies of workflow usability will provide the basis for investigations of the composability of partial workflows in complex scenarios. Workflows will also be studied for their applicability to aid the self-organization of systems by dynamically allocating network resources. The combination of functional specification, automated code generation, and performance analysis methods is a distinguishing aspect of model based service engineering in self-organizing distributed information systems, which will contribute significantly to the service quality of all system components.