Name
Title | ||
|---|---|---|
Energy Minimization for Parallel Real-Time Systems with Malleable Jobs and Homogeneous Frequencies |
Abstract | ||
|---|---|---|
In this work, we investigate the potential utility of parallelization for meeting real-time constraints and minimizing energy. We consider malleable Gang scheduling of implicit-deadline sporadic tasks upon multiprocessors. We first show the non-necessity of dynamic voltage/frequency regarding optimality of our scheduling problem. We adapt the canonical schedule for DVFS multiprocessor platforms and propose a polynomial-time optimal processor/frequency-selection algorithm. We evaluate the performance of our algorithm via simulations using parameters obtained from a hardware testbed implementation. Our algorithm has up to a 60 watt decrease in power consumption over the optimal non-parallel approach. |
Year | Venue | DocType |
|---|---|---|
2013 | CoRR | Journal |
Volume | Citations | PageRank |
abs/1302.1747 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nathan Fisher | 1 | 472 | 32.45 |
| Joël Goossens | 2 | 666 | 49.22 |
| Pradeep M. Hettiarachchi | 3 | 26 | 2.13 |
| Antonio Paolillo | 4 | 31 | 6.79 |