<p>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.</p><p>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.</p>
| Identifer | oai:union.ndltd.org:UPSALLA/oai:DiVA.org:vxu-1148 |
| Date | January 2007 |
| Creators | Nieto, David, Estrada, Alejandro |
| Publisher | Växjö University, School of Mathematics and Systems Engineering, Växjö University, School of Mathematics and Systems Engineering |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, text |
| Relation | Rapporter från Växjö universitet : Matematik, naturvetenskap och teknik, 1404-045X ; |
Page generated in 0.0021 seconds