A GA-based approach to dynamic reconfiguration of real-time systems

Modern real-time systems have become increasingly complex since they have been required to operate in modern architectures and environments with high level of temporal uncertainty, where the actual execution demand is deter-mined only during execution and is valid only for a given period of time. Thus such systems require both temporal isolation and dynamic reconfiguration. In this paper we deal with both these requirements. By assuming that the system is structured such that there are several modes of operation to be chosen at runtime, we formulate a reconfig-uration problem. Temporal isolation is ensured by CBS. A solution to the reconfiguration problem is based on Genetic Algorithms, which provide the graceful adaption of the sys-tem so that it copes with new demands of the environment. The proposed solution is evaluated by simulation and the results found show the suitability of the approach.