Databases in Control and Simulation

This position paper describes the real-time database research at the Real-Time Systems Laboratory, Linköping University. The current research involves the application of database technology to the control and simulation of physical processes and has two main directions: adequate activity languages to describe high level operations on objects in the environment or in the simulation, and mechanisms to embed databases into control and simulation systems, and adequate data structures. 1 Introduction Our work focuses on the application of databases in real-time software systems and, more specifically, the application dependent requirements put on the embedded database and the realization of the corresponding database technology to satisfy these requirements. In this position paper, we describe our approach to embedding real-time databases in control systems and simulators. This paper will describe our approach in both aspects. We will also discuss the similarities between control and simu..

Going Public with Advanced Simulations

Part 6: Climate Services and Environmental Tools for Urban Planning and Climate Change Applications and ServicesInternational audienceWeb technology provides public access to advanced simulation models and efficiently distributes vast volumes of data in an unprecedented way. The traditional boundary between the producers and the users of data has become less distinct. Users now download data generated by themselves or by others. The role of the hydrologist has therefore shifted towards the management of systems and tools that are publicly available. A recent example of this development is the SMHI VattenWeb, a web application that makes available different databases and modelling tools managed by the Swedish Meteorological and Hydrological Institute. Since VattenWeb was primarily developed to meet the demands of the EU Water Framework Directive, one of the key elements is a database of simulated discharge and nutrient transport generated by the SMHI HYPE model. These data consist of daily, monthly and annual hydrologic simulations for all Swedish water bodies reported within the WFD. We show the present status of SMHI VattenWeb and highlight the strategies that have made this application successful among users seeking to characterize the quantity and quality of water at high spatial resolution across Sweden