Name
Abstract | ||
|---|---|---|
Many commercial job scheduling strategies in multi processing systems tend to minimize waiting times of short jobs. However, long jobs cannot be left aside as their impact on the performance of the system is also determinant. In this work we propose a job scheduling strategy that maximizes resources utilization and improves the overall performance by allowing jobs to adapt to variations in the load. The experimental evaluations include both simulations and executions of real workloads. The results show that our strategy provides significant improvements over the traditional EASY backfilling policy, especially in medium to high machine loads. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-32820-6_20 | international conference on parallel processing |
Keywords | DocType | Volume |
multi processing system,real workloads,maximizes resources utilization,experimental evaluation,multi-core cluster,commercial job scheduling strategy,virtual malleability,job scheduling strategy,overall performance,short job,long job,high machine load,job scheduling approach | Conference | 7484 |
ISSN | Citations | PageRank |
0302-9743 | 8 | 0.53 |
References | Authors | |
21 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gladys Utrera | 1 | 50 | 6.51 |
| Siham Tabik | 2 | 167 | 18.92 |
| Julita Corbalan | 3 | 174 | 12.00 |
| Jesús Labarta | 4 | 1862 | 165.09 |