Parallel Scheduling for DAGs : GUI developed for the LOIS Project staff

The LOIS project aims at building a radio sensor and IT infrastructure in the south of Sweden, primarily with but not limited to the goal of space observations. Signals received produce a gigantic stream of data that has to be processed in real time. Our purpose is scheduling stream computations to computation nodes in such a way that the performance requirements are met. We built a framework where different local and global scheduling algorithms can be executed and tested including a number of benchmarking programs, comparing the performances. We will try to use a method as simple as possible. Given the results of the different local schedules as input – mapping parallel computations (tasks) to processors – along with some parameters such as the algorithm to apply and machine parameters, the framework will compute a global schedule. Moreover, the framework will visualize the results. We understand that framework as a graphic interface able to simulate the manipulation of different tasks, as well as different measurement groups. Showing the better performances is a big aid in order to improve the stream computation