|
Makerere University Research Repository >
Faculty of Computing and Information Technology >
Research Articles (CIT) >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/694
|
| Title: | Group-wise performance evaluation of processor co-allocation in multi-cluster systems |
| Authors: | Ngubiri, John
van Vliet, Mario |
| Keywords: | Co-allocation
Group
Performance evaluation
FPFS |
| Issue Date: | 2007 |
| Publisher: | Springer |
| Abstract: | Performance evaluation in multi-cluster processor co-allocation like in many other parallel job scheduling problems- is mostly done by computing the average metric value for the entire job stream. This does not give a comprehensive understanding of the relative performance of the different jobs grouped by their characteristics. It is however the characteristics that affect how easy/hard jobs are to schedule. We, therefore, do not get to understand scheduler performance at job type level. In this paper, we study the performance of multi-cluster processor co-allocation for different job groups grouped by their size, components and widest component. We study their relative performance, sensitivity to parameters and how their performance is affected by the heuristics used to break them up into components. We show that the widest component us characteristic that most affects job schedulability. We also show that to get better performance, jobs should be broken up in such a way that the
width of the widest component is minimized. |
| Description: | The paper studies the differences in performance and sensitivity to parameters by different jobs in a typical supercomputer jobstream. |
| URI: | http://hdl.handle.net/123456789/694 |
| Appears in Collections: | Research Articles (CIT)
|
Files in This Item:
| File |
Description |
Size | Format |
|---|
| ngubiri_vanVliet_jsspp_revised.pdf | Full-text Article | 1002Kb | Adobe PDF | View/Open |
|
All items in DSpace are protected by copyright, with all rights reserved.
|
