Pervasive simulation envisions people making use of simulation technology in their private and professional lives, anytime, anywhere. Mobile devices, such as tablets and mixed-reality equipment, allow users to interact with simulations in real time. Visualizing simulation output at interactive rates and allowing users to give immediate feedback to control the simulation open the door for many novel applications, in particular, in all three of our Visionary Examples. With the increasing diversification of computing platforms, ranging from mobile devices to the cloud to HPC, pervasive simulation systems must be executed in a highly heterogeneous communication and computation infrastructure. Moreover, they must incorporate data from physiological sensors, wearable devices, or other sources, and support complex real-time interactive visualization. Due to the human-in-the-loop nature and seamless support of user mobility, pervasive simulation poses unique requirements that reach far beyond the state of the art. We aim to achieve powerful abstractions that will allow for a simple specification of complex simulation systems and to develop methods for automatically distributing, deploying, and adapting simulation systems in an optimal manner. These methods rest on techniques that trace simulations (their modeling, deployment, execution, and adaptation) using provenance data of the simulation process. This traceability supports adaptive behavior as well as reproducibility of simulation results in dynamic environments. To actively engage the user in human-in-the-loop pervasive simulations, appropriate paradigms for visualization and interaction are required.
RQ 1 Modeling, adapting, and deploying pervasive simulations: How can we model a pervasive simulation in a modular, portable, and reusable manner such that the simulation system will be automatically adapted to the requirements of a dynamic environment and deployed in a heterogeneous infrastructure?
RQ 2 Traceability: How can we model, collect, and leverage provenance to ensure the traceability of parameterizations, computations, and data while complying with efficiency requirements?
RQ 3 Adaptive interaction and pervasive visualization: How can we model user performance in real time to adapt interactive visualization systems to users and the environment, supporting mobile interfaces and immersion in augmented and virtual reality?
|PN 7-1||Pervasive Simulation and Visualization with Resource- and Time-Constraints|
|PN 7-1 (II)||Pervasive Simulation and Visualization with Resource- and Time-Constraints|
|PN 7-2||Development of a Pervasive Simulation Toolkit for Bio-Mechanical Models|
|PN 7-3||Provenance-integrated adaptation of numerical approximations of differential equation models|
|PN 7-3 (II)||Provenance-integrated adaptation of numerical approximations of differential equation models|
|PN 7-4||Provisioning Languages and Distributions for Requirement-Aware Simulations|
|PN 7-5||Data-integrated Simulation of Human Perception and Cognition|
|PN 7-6||Reusage and Reanalysis of Simulation Data in Structural Dynamics|
|PN 7-6 (II)||Adaptive Surrogate Models in Heterogeneous Computer Environments|
|PN 7-7||Statistical Modelling of Naturalistic Brain Activity|
|PN 7-8||Interactive VR Visualization of Molecular Simulation Data|
Project Network Coordinators
Michael SedlmairProf. Dr.
Professorship Virtual Reality and Augmented Reality
[Photo: SimTech/Max Kovalenko]