Master Thesis / Project Work on the Field of SchedulingThesistype: Bachelor-/Master-/Student ThesisContact: BabakSorkhpour Email: Babak.Sorkhpour@uni-siegen.de H-E 011 Description: Tasks and messages are important in the field of scheduling. Therefore, they have to be guaranteed by schedulers in order to meet their deadlines under any unusual situation. Moreover, the schedulers have to decide when and by whom shared resources can be accessed by other resources within the system. This action is important to avoid conflicts between high-critical and low-critical tasks. Our challenges in this field are finding the most feasible and optimal schedules which solve the mentioned challenges within short execution-time 
Task Objectives We are going to find solutions for pre-compiling and solving the schedule challenges by using algorithms for Quasi-Static Scheduling 1. Speed up Meta-scheduler Tools with Parallel Programming Method ( Multi-Thread) 2. Optimizing scheduler Tools with Genetic Algorithm for Power Efficiency 3. Optimizing method to reduce schedule size ( Delta models) 4. Compressing method to reduce schedule size Desired Skills
Language English Duration of the Thesis 6 month |
